CN113944030B - Detergent recommending method and device and electronic equipment - Google Patents

Detergent recommending method and device and electronic equipment Download PDF

Info

Publication number
CN113944030B
CN113944030B CN202111136790.2A CN202111136790A CN113944030B CN 113944030 B CN113944030 B CN 113944030B CN 202111136790 A CN202111136790 A CN 202111136790A CN 113944030 B CN113944030 B CN 113944030B
Authority
CN
China
Prior art keywords
detergent
washing
type
detergents
determining
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.)
Active
Application number
CN202111136790.2A
Other languages
Chinese (zh)
Other versions
CN113944030A (en
Inventor
单晓艳
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 Technology Co Ltd
Haier Smart Home Co Ltd
Original Assignee
Qingdao Haier Technology 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 Technology Co Ltd, Haier Smart Home Co Ltd filed Critical Qingdao Haier Technology Co Ltd
Priority to CN202111136790.2A priority Critical patent/CN113944030B/en
Publication of CN113944030A publication Critical patent/CN113944030A/en
Application granted granted Critical
Publication of CN113944030B publication Critical patent/CN113944030B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • 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
    • D06F33/37—Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry of metering of detergents or additives
    • 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
    • D06F34/04—Signal transfer or data transmission arrangements
    • D06F34/05—Signal transfer or data transmission arrangements for wireless communication between components, e.g. for remote monitoring or 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
    • D06F34/00—Details of control systems for washing machines, washer-dryers or laundry dryers
    • D06F34/14—Arrangements for detecting or measuring specific parameters
    • 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
    • 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
    • D06F2103/04—Quantity, e.g. weight or variation of weight
    • 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
    • D06F2103/38—Time, e.g. duration
    • 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
    • D06F2105/42—Detergent or additive supply
    • 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
    • D06F2105/58—Indications or alarms to the control system or to the user
    • 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
    • D06F2105/58—Indications or alarms to the control system or to the user
    • D06F2105/60—Audible signals

Abstract

The application provides a detergent recommending method, a detergent recommending device and electronic equipment, wherein the method comprises the following steps: the method comprises the steps of obtaining historical washing data of a user in a preset time period through washing equipment, determining total usage corresponding to each type of detergent in the preset time period according to the historical washing data, determining information to be recommended according to pre-stored detergent purchase records and the total usage corresponding to each type of detergent in the preset time period, and pushing the information to be recommended according to preset pushing rules. The scheme saves the time of the user, reduces the damage of the unmatched detergent to clothes, and improves the washing experience of the user.

Description

Detergent recommending method and device and electronic equipment
Technical Field
The application belongs to the technical field of washing equipment, and particularly relates to a detergent recommending method and device and electronic equipment.
Background
With the improvement of the living standard of people, more and more clothes are purchased by users, and the materials of the clothes are also more and more abundant.
In order to better protect clothes, different types of detergents can be adopted for different clothes materials when the clothes are washed, so that the abrasion to the clothes is reduced. For example, for infant type laundry, infant type detergents may be used; for the clothes made of high-end materials such as wool, silk and the like, the detergents made of high-end materials can be used. Therefore, the types of detergents that users need to use are also increasing.
However, since the types of detergents to be used are various and the life pace is now faster and faster, users may not be able to purchase in time when a certain type of detergent is used up, resulting in that only other mismatched types of detergents can be used to wash laundry, which causes damage to the laundry and also reduces the laundry experience of the users.
Disclosure of Invention
In order to solve the problems in the prior art and reduce damage to clothes, the application provides a detergent recommending method, a detergent recommending device and electronic equipment.
In a first aspect, the present application provides a detergent recommendation method comprising:
acquiring historical washing data of a user in a preset time period through washing equipment;
determining the total usage amount corresponding to each type of detergent in the preset time period according to the historical washing data;
determining information to be recommended according to pre-stored detergent purchase records and the total usage amount corresponding to each type of detergent in the preset time period;
and pushing the information to be recommended according to a preset pushing rule.
In one possible design, the historical wash data is the amount of detergent used per wash and the corresponding wash program,
the determining, according to the historical washing data, the total usage amount corresponding to the different types of detergents in the preset time period includes:
Classifying the used amount of the detergents according to the washing programs, summing the used amounts of the detergents corresponding to each type of washing program, and determining the first initial total used amount of the detergents corresponding to each type of washing program;
classifying each washing program according to a pre-stored corresponding relation between the washing program and the type of the detergent, and determining each washing program set corresponding to the type of the detergent;
and summing the total usage amount of the first initial detergents corresponding to each type of washing program in each washing program set to obtain the total usage amount corresponding to different types of detergents.
In one possible design, the historical washing data is the laundry weight at each wash and the corresponding wash program,
the determining, according to the historical washing data, the total usage amount corresponding to the different types of detergents in the preset time period includes:
determining the usage amount of the detergent corresponding to the weight of the clothes during each washing according to the corresponding relation between the preset weight of the clothes and the usage amount of the detergent;
classifying the used amount of the detergents corresponding to the weight of the clothes in each washing according to the washing program, summing the used amounts of the detergents corresponding to each type of washing program, and determining the second initial used total amount of the detergents corresponding to each type of washing program;
Classifying each washing program according to a pre-stored corresponding relation table of washing programs and detergent types, and determining each washing program set corresponding to the detergent types;
and summing the total usage amount of the second initial detergents corresponding to each type of washing program in each washing program set to obtain the total usage amount corresponding to different types of detergents.
In one possible design, the detergent purchase record contains the purchase amount and purchase time of different types of detergents,
the determining the information to be recommended according to the pre-stored detergent purchase record and the total usage amount corresponding to each type of detergent in the preset time period comprises the following steps:
determining a first duration to be used corresponding to each type of detergent according to the purchase amount of the different types of detergents and the total use amount corresponding to each type of detergent in the preset time period;
determining a first pushing moment corresponding to each type of detergent according to the purchase time and a first time to be used corresponding to each type of detergent;
and obtaining information to be recommended according to the first pushing moment.
In one possible design, the detergent purchase record contains purchase times for different types of detergents,
The determining the information to be recommended according to the pre-stored detergent purchase record and the total usage amount corresponding to each type of detergent in the preset time period comprises the following steps:
determining estimated purchase quantity of each type of detergent according to the capacities and sales quantity of different types of detergents in a preset platform;
determining a second waiting time length corresponding to each type of detergent according to the estimated purchase quantity of the different types of detergents and the total usage quantity corresponding to each type of detergent in the preset time period;
determining a second pushing moment corresponding to each type of detergent according to the purchase time and a second time length to be used corresponding to each type of detergent;
and obtaining information to be recommended according to the second pushing moment.
In one possible design, the detergent purchase record contains the purchase amounts of different types of detergents,
the determining the information to be recommended according to the pre-stored detergent purchase record and the total usage amount corresponding to each type of detergent in the preset time period comprises the following steps:
acquiring a target historical moment, wherein the target historical moment is the moment of pushing the previous adjacent historical recommendation information;
Determining a third waiting time period corresponding to each type of detergent according to the purchase quantity of the different types of detergents and the total usage quantity corresponding to each type of detergent in the preset time period;
determining a third pushing time corresponding to each type of detergent according to the target historical time and a third to-be-used time length corresponding to each type of detergent;
and obtaining information to be recommended according to the third pushing moment.
In one possible design, if the information to be recommended includes pushing time of different types of detergents and corresponding recommended information of the detergents, the pushing the information to be recommended according to a preset pushing rule includes:
and pushing the recommended information of the different types of detergents to a user side at corresponding pushing moments and/or broadcasting through voice broadcasting equipment.
In one possible design, the pushing the recommended information of the different types of detergents to the user side at the corresponding pushing moment and/or broadcasting by the voice broadcasting device includes:
acquiring the quantity of the detergent types corresponding to each pushing moment;
and if the number of the detergent types corresponding to the target pushing moment exceeds a preset number threshold, pushing the recommended information of the detergent with the preset number threshold at the target pushing moment.
In one possible design, before the step of acquiring the historical washing data of the user in the preset time period through the washing device, the method further comprises:
acquiring a target washing program selected by a user;
determining a target detergent type corresponding to the target washing program according to a pre-stored corresponding relation between the washing program and the detergent type;
and broadcasting the target detergent type through voice broadcasting equipment.
In a second aspect, the present application provides a detergent recommender comprising:
the acquisition module is used for acquiring historical washing data of a user in a preset time period through washing equipment;
the processing module is used for determining the total usage amount corresponding to each type of detergent in the preset time period according to the historical washing data;
the processing module is also used for determining information to be recommended according to a pre-stored detergent purchase record and the total usage amount corresponding to each type of detergent in the preset time period;
the processing module is further configured to push the information to be recommended according to a preset pushing rule.
In a third aspect, the present application provides an electronic device comprising a processor, and a memory communicatively coupled to the processor;
The memory stores computer-executable instructions;
the processor executes computer-executable instructions stored in the memory to implement the detergent recommendation method according to any one of the first aspects.
In a fourth aspect, the present application provides a computer readable storage medium having stored therein computer executable instructions which, when executed by a processor, implement the detergent recommendation method as described in the first aspect above.
In a fifth aspect, the present application provides a computer program product comprising a computer program which, when executed by a processor, implements the detergent recommendation method according to any one of the first aspects above.
It can be understood by those skilled in the art that after the above scheme is adopted, the historical washing data of the user in the preset time period can be obtained through the washing device, then the total usage amount corresponding to each type of detergent in the preset time period can be determined according to the historical washing data, and then the message to be pushed can be determined according to the pre-stored detergent purchase record and the total usage amount corresponding to each type of detergent in the preset time period. The method has the advantages that the use condition of different types of detergents is determined based on the historical washing data of the user in the preset time period and the detergent purchasing record, and the mode of information to be recommended is determined according to the use condition of the different types of detergents, so that the user can simply and clearly know the residual condition of the different types of detergents, can directly select the required detergents according to the information to be recommended, the time of the user is saved, the damage of the detergents of the unmatched types to clothes is reduced, and the washing experience of the user is improved.
Drawings
Preferred embodiments of a voice false wake processing method and an electronic device of the present application are described below with reference to the accompanying drawings. The attached drawings are as follows:
fig. 1 is a schematic architecture diagram of an application system of a detergent recommendation method according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of a detergent recommendation method according to an embodiment of the present disclosure;
FIG. 3 is a schematic flow chart of a detergent recommendation method according to another embodiment of the present application;
fig. 4 is a schematic structural diagram of a detergent recommending apparatus according to an embodiment of the present application;
fig. 5 is a schematic hardware structure of an electronic device according to an embodiment of the present application.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The terms "first," "second," "third," "fourth" and the like in the description and in the claims of this application and in the above-described figures, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that embodiments of the present application described herein may be capable of operation in sequences other than those illustrated or described herein, for example. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In the prior art, the clothes worn by the user are more and more rich in material types, for example, wool materials, silk materials or down materials and the like can be used. In order to reduce damage to laundry and meet different washing demands of users, different types of detergents can be adopted for different laundry materials when washing laundry. For example, for infant type laundry, infant type detergents may be used; for the clothes made of high-end materials such as wool, silk and the like, a detergent made of high-end materials can be used; the detergent with sterilizing effect can be selected according to the sterilizing requirement. However, since the types of detergents to be used are various and the life pace is now faster and faster, users may not be able to purchase in time when a certain type of detergent is used up, resulting in that only other mismatched types of detergents can be used to wash laundry, which causes damage to the laundry and also reduces the laundry experience of the users.
Based on the problems, the method and the device for determining the washing experience of the user can simply and clearly know the residual conditions of the different types of detergents and directly select the required detergents according to the information to be recommended by determining the use conditions of the different types of detergents and determining the information to be recommended according to the use conditions of the different types of detergents based on the historical washing data of the user in the preset time period and the detergent purchase record, so that the time of the user is saved, damage of the unmatched types of detergents to clothes is reduced, and the technical effect of the washing experience of the user is improved.
The following describes a voice false wake-up processing method and a preferred technical scheme of the electronic device by combining specific technical characteristics.
Fig. 1 is a schematic architecture diagram of an application system of a detergent recommending method according to an embodiment of the present application, as shown in fig. 1, the application system may include a server 101, a washing device 102 and a user terminal 103, where the server 101 may obtain historical washing data in a preset time period from the washing device 102, and then finally determine information to be recommended according to the historical washing data, and send the information to be recommended to the user terminal 103.
The user terminal 103 may be a terminal that may receive information to be recommended, such as a smart phone, a tablet, a wearable device, and the like. The washing apparatus 102 may be a smart washing machine.
In addition, the application system can only comprise washing equipment and a user side, the washing equipment can determine information to be recommended finally directly through historical washing data of a user in a preset time period, and then the information to be recommended is sent to the user side.
Fig. 2 is a schematic flow chart of a detergent recommending method according to an embodiment of the present application, where the execution body of the embodiment may be the server 101 or the washing device 102, and specifically, if the execution body is the washing device, the execution body may be a processor in the washing device, and the embodiment is not limited herein. As shown in fig. 2, the method specifically may include:
S201: historical washing data of a user in a preset time period is obtained through washing equipment.
In this embodiment, the user's historical washing data may indicate the user's washing habit and preference, and thus, the total amount of use of different types of detergents by the user during a preset period of time may be determined by acquiring the user's historical washing data during the preset period of time, and then the information to be recommended may be determined according to the total amount of use of different types of detergents.
The preset time period may be set by user-defining according to an actual application scenario, and may be, for example, one month.
In addition, specific washing parameters of the washing device can be stored in a memory of the washing device during the washing process, so that historical washing data are formed. The historical washing data may be subsequently retrieved directly from the memory of the washing apparatus when the historical washing data is retrieved.
The historical washing data may include, among others, capacity of the washing apparatus, washing water level data, laundry weight per washing, detergent usage per washing, or washing program, etc.
S202: and determining the corresponding total usage amount of each type of detergent in the preset time period according to the historical washing data.
In this embodiment, after the historical washing data of the user is obtained, the total usage amount corresponding to the different types of detergents in the preset period of time may be determined according to the parameter information included in the historical washing data. By way of example, the detergent types may include three types of detergent type a, detergent type B and detergent type C, and according to the parameter information included in the historical washing data, it may be finally determined that the total usage amount of the detergent type a is 4L, the total usage amount of the detergent type B is 5L, and the total usage amount of the detergent type C is 4.5L.
Further, the parameters included in the historical washing data may be different, and correspondingly, the manner in which the total usage amount corresponding to each type of detergent in the preset time period is determined by the historical washing data may be different.
In one possible implementation, the historical washing data is the usage amount of the detergent at each washing and the corresponding washing program, and determining the corresponding total usage amount of the different types of detergents in the preset time period according to the historical washing data may include:
classifying the used amount of the detergents according to the washing programs, summing the used amounts of the detergents corresponding to each type of washing program, and determining the first initial total used amount of the detergents corresponding to each type of washing program.
Classifying the washing programs according to the pre-stored corresponding relation between the washing programs and the types of the detergents, and determining each washing program set corresponding to the types of the detergents.
And summing the total usage amount of the first initial detergents corresponding to each type of washing program in each washing program set to obtain the total usage amount corresponding to different types of detergents.
In this embodiment, the historical washing data may include the amount of detergent used at each wash and the corresponding washing program. The types of the detergents corresponding to the different washing programs can be the same or different, but the types of the detergents corresponding to the same washing program are the same, so that the washing program can be firstly classified according to the washing program to determine a washing program corresponding to each washing program, then the washing program corresponding to each washing program is summed to determine the first initial washing program total amount corresponding to each washing program.
The types of the detergents corresponding to each washing program are predetermined, and different washing programs can correspond to the same washing program type, so after the total use amount of the first initial washing agent corresponding to each washing program is determined again, each washing program can be classified according to the corresponding relation between the pre-stored washing program and the washing program type, and each washing program set corresponding to the different washing program type is determined. At least one wash program may be included in each set of wash programs, and each set of wash programs corresponds to a detergent type. For example, the set of washing courses corresponding to the detergent type a may include three washing courses of the washing course a1, the washing course a2, and the washing course a3, i.e., the washing course a1, the washing course a2, and the washing course a3 are all washed using the detergent corresponding to the detergent type a. In addition, table 1 is a table showing the correspondence between the washing program and the detergent types, and the detergent types (e.g., general washing, high-end material washing, aseptic health washing, low-foam easy-rinsing, baby washing, etc.) corresponding to the different washing programs are recorded in detail in the table.
TABLE 1 Table of the correspondence between washing program and detergent type
Further, after determining each washing program set, the total amount of the first initial detergent corresponding to each type of washing program in each washing program set can be summed to obtain the total usage amount corresponding to different types of detergents.
In another possible implementation, the historical washing data may be a laundry weight at each washing and a corresponding washing program, and determining the corresponding total usage of different types of detergents in the preset time period according to the historical washing data may include:
and determining the detergent usage amount corresponding to the laundry weight during each washing according to the preset corresponding relation between the laundry weight and the detergent usage amount.
Classifying the used amount of the detergents corresponding to the weight of the clothes in each washing according to the washing program, summing the used amounts of the detergents corresponding to each washing program, and determining the second initial used total amount of the detergents corresponding to each washing program.
Classifying the washing programs according to a pre-stored table of the corresponding relation between the washing programs and the types of the detergents, and determining each washing program set corresponding to the types of the detergents.
And summing the total usage amount of the second initial detergents corresponding to each type of washing program in each washing program set to obtain the total usage amount corresponding to different types of detergents.
In this embodiment, in some cases, the washing apparatus may not accurately acquire the usage amount of the detergent at each washing, and in order to accurately determine the corresponding total usage amount of the different types of detergents, the usage amount of the detergent may be estimated according to the laundry weight at the time of actual washing. The usage amount of the detergent corresponding to different laundry weights can be estimated according to the pre-stored corresponding relation between the laundry weights and the usage amounts of the detergents, the usage amounts of the detergents corresponding to the laundry weights in each washing process are classified according to the washing processes, and the second initial total usage amount of the detergent corresponding to each washing process is determined. For example, table 2 is a table of correspondence between laundry weights and detergent usage amounts, in which specific information of detergent usage amounts corresponding to different laundry weights is recorded. In addition, each detergent type may also include a general detergent type and a concentrated detergent type.
TABLE 2 correspondence between laundry weight and detergent usage
Further, after determining the usage amount of the detergent corresponding to the laundry weight at each time of washing according to the preset correspondence between the laundry weight and the usage amount of the detergent, each washing program may be classified according to the pre-stored correspondence between the washing program and the type of the detergent, each washing program set corresponding to different types of the detergent may be determined, and then the sum operation may be performed on the total amount of the second initial detergent usage corresponding to each type of the washing program in each washing program set, to obtain the total usage amount corresponding to different types of the detergent. By the implementation mode, the determination mode of the usage amount of the detergent is increased, and the total usage amount corresponding to each type of detergent can be determined when the washing equipment cannot accurately acquire the usage amount of the detergent, so that the accuracy of the determination result of the total usage amount corresponding to the detergent is improved.
S203: and determining the information to be recommended according to the pre-stored detergent purchase record and the total usage amount corresponding to each type of detergent in the preset time period.
In this embodiment, after determining the total usage amount corresponding to the different types of detergents, the consumption amount of the different types of detergents within the preset time period is determined, and then the pre-stored detergent purchase record may be obtained again, the pushing time of the different types of detergents is determined according to the pre-stored detergent purchase record and the total usage amount corresponding to the different types of detergents, and the information to be recommended is obtained according to the pushing time of the different types of detergents.
Further, the detergent purchase record may include different parameter information, and correspondingly, the parameter information included in the detergent purchase record is different, and the manner of determining the information to be recommended is different.
Specifically, in one implementation, the detergent purchase record includes purchase amounts and purchase times of different types of detergents, and determining the information to be recommended according to the pre-stored detergent purchase record and the total usage amount corresponding to each type of detergent in the preset time period may include:
and determining a first duration to be used corresponding to each type of detergent according to the purchase quantity of the different types of detergents and the total usage quantity corresponding to each type of detergent in the preset time period.
And determining the first pushing time corresponding to each type of detergent according to the purchase time and the first time to be used corresponding to each type of detergent.
And obtaining information to be recommended according to the first pushing moment.
In this embodiment, if the detergent purchase record includes the purchase amount and the purchase time of different types of detergents, the first waiting time period of each type of detergent may be determined according to the purchase amount of different types of detergents and the total usage amount of the types of detergents within the preset time period. I.e., the first duration to be used of each target type of detergent is obtained by purchasing the target type of detergent/the total usage of the target type for a preset period of time. The preset time period may be one month, one week, one day, half month, or the like.
After the first waiting time period of each type of detergent is obtained, the first pushing moment of the type of detergent can be obtained by adding the purchase time of the type of detergent to the corresponding type of first waiting time period.
In addition, the information to be recommended may include basic information, an acquisition mode, or a link corresponding to the acquisition mode of the detergent to be pushed, in addition to the pushing time of the different types of detergents.
In another implementation, the determining the information to be recommended according to the pre-stored detergent purchase record and the total usage amount corresponding to each type of detergent in the preset time period may include:
and determining the estimated purchase quantity of each type of detergent according to the capacities and sales quantity of different types of detergents in the preset platform.
And determining the second time length to be used corresponding to each type of the detergent according to the estimated purchase quantity of the different types of the detergents and the total use quantity corresponding to each type of the detergents in the preset time period.
And determining the second pushing time corresponding to each type of detergent according to the purchase time and the second time length to be used corresponding to each type of detergent.
And obtaining information to be recommended according to the second pushing moment.
In this embodiment, if the detergent purchase record only includes the purchase time of different types of detergents, the top N volumes of sales of different types of detergents in the preset platform (i.e., the common purchase platform) may be determined as the estimated purchase amount of the type of detergents. Illustratively, N may be 1, i.e., the capacity of the most sales detergent may be taken as the estimated purchase of that type of detergent. And then determining the second waiting time period corresponding to each type of the detergents according to the estimated purchase quantity of the different types of the detergents and the total usage quantity corresponding to each type of the detergents in the preset time period. And determining the second pushing time corresponding to each type of detergent according to the purchase time and the second waiting time corresponding to each type of detergent.
In another implementation, the detergent purchase record includes purchase amounts of different types of detergents, and determining the information to be recommended according to the pre-stored detergent purchase record and the total usage amount corresponding to each type of detergent in the preset time period may include:
and acquiring a target historical moment, wherein the target historical moment is the moment of pushing the previous adjacent historical recommended information.
And determining a third waiting time period corresponding to each type of detergent according to the purchase quantity of the different types of detergents and the total usage quantity corresponding to each type of detergent in the preset time period.
And determining a third pushing time corresponding to each type of detergent according to the target historical time and a third time length to be used corresponding to each type of detergent.
And obtaining information to be recommended according to the third pushing moment.
In this embodiment, if the detergent purchase record includes only the purchase amounts of different types of detergents, the time when the previous history recommendation information is pushed may be taken as the estimated purchase time. The third time period for use corresponding to each type of detergent may then be determined based on the purchased amounts of the different types of detergents and the total usage amount corresponding to each type of detergent over the preset period of time. And determining a third pushing time corresponding to each type of detergent according to the target historical time and a third waiting time corresponding to each type of detergent.
For example, table 3 is an application table for determining the detergent pushing moment, in which the detergent pushing moment corresponding to several different situations is recorded. Specifically, when only "insufficient detergent" data is indicated, the date + (preference data of user purchasing kg of detergent)/total amount of the type of detergent used per week indicating insufficient detergent is used as the push time of pushing the detergent. In addition, if there is no preference data of purchasing the detergent kg by the user, preference data of purchasing the detergent kg by the average of the areas where the user is located can be used as preference data of purchasing the detergent by the user. Further, when there is data on purchasing a detergent by the user, the date of purchasing a detergent + (preference data on purchasing a kilogram of a detergent by the user)/total amount of using this type of detergent per week) -2-week period is used as the push time of the detergent. In order to give the user sufficient preparation time, the user can be reminded in advance, and the user can be reminded by two weeks in advance.
Table 3 application table for determining detergent push time
In addition, if there is kg preference data of the user purchasing the detergent, it is used, and if there is no capacity which is the most sales as the kg preference data of the user purchasing the detergent, it is also possible to default to use.
Further, if it is detected that the user uses the concentrated detergent, the total amount of the purchased concentrated detergent/the weekly amount of the used concentrated detergent may be used to determine the use period of the detergent.
S204: and pushing the information to be recommended according to a preset pushing rule.
In this embodiment, the pushing rules may be multiple, and different pushing rules may be selected according to specific parameters included in the information to be recommended.
Further, in an implementation manner, the information to be recommended may include pushing time of different types of detergents and corresponding recommended information of the detergents, and pushing the information to be recommended according to a preset pushing rule may include:
and pushing the recommended information of the different types of detergents to the user side at the corresponding pushing moment and/or broadcasting the recommended information through voice broadcasting equipment.
Specifically, the recommended information of the different types of detergents can be pushed to the user side at the corresponding pushing moment, or the recommended information of the different types of detergents is broadcasted through the voice broadcasting device at the corresponding pushing moment, or the recommended information of the different types of detergents is pushed to the user side at the corresponding pushing moment, and is broadcasted through the voice broadcasting device at the corresponding pushing moment.
The voice broadcasting device can be a voice broadcasting device arranged in the washing device.
In another implementation manner, the information to be recommended may include not only the pushing time of different types of detergents and the recommendation information of the corresponding detergents, but also the last pushing time, when the starting of the washing device is detected, the time difference may be determined according to the current time and the last pushing time included in the information to be recommended, then whether the time difference is greater than a preset time difference threshold value is judged, if so, the pushing time of different types of detergents and the recommendation information of the corresponding detergents are pushed to the user at the same time, and the user decides when to purchase the detergents according to the pushing time of different types of detergents and the recommendation information of the corresponding detergents, so that flexibility of detergent recommendation is improved, and washing experience of the user is further improved.
In addition, the pushing of the recommended information of the different types of detergents to the user side at the corresponding pushing moment and/or the broadcasting through the voice broadcasting equipment can specifically include:
and acquiring the quantity of the detergent types corresponding to each pushing moment.
And if the number of the detergent types corresponding to the target pushing moment exceeds a preset number threshold, pushing the recommended information of the detergent with the preset number threshold at the target pushing moment.
Specifically, when the types of the detergents pushed at the same time are more, a certain trouble may be caused to the user, so that the selection of the user is influenced, and the washing experience of the user is further influenced, therefore, a quantity threshold value can be preset, and if the quantity of the types of the detergents corresponding to the target pushing time exceeds the preset quantity threshold value, the recommendation information of the detergents with the preset quantity threshold value is pushed at the target pushing time, so that the trouble to the user is reduced, and the washing experience of the user is further improved.
After the scheme is adopted, the historical washing data of a user in a preset time period can be acquired through the washing equipment, then the total usage amount corresponding to each type of detergent in the preset time period can be determined according to the historical washing data, and then the message to be pushed can be determined according to the pre-stored detergent purchase record and the total usage amount corresponding to each type of detergent in the preset time period and pushed. The method has the advantages that the use condition of different types of detergents is determined based on the historical washing data of the user in the preset time period and the detergent purchasing record, and the mode of information to be recommended is determined according to the use condition of the different types of detergents, so that the user can simply and clearly know the residual condition of the different types of detergents, can directly select the required detergents according to the information to be recommended, the time of the user is saved, the damage of the detergents of the unmatched types to clothes is reduced, and the washing experience of the user is improved.
The examples of the present specification also provide some specific embodiments of the method based on the method of fig. 2, which is described below.
Fig. 3 is a schematic flow chart of a detergent recommending method according to another embodiment of the present application, as shown in fig. 3, before S201, the method may further include:
s301: the target washing program selected by the user is acquired.
S302: and determining the target detergent type corresponding to the target washing program according to the pre-stored corresponding relation between the washing program and the detergent type.
S303: and broadcasting the target detergent type through a voice broadcasting device.
In this embodiment, since the types of detergents are relatively large, during washing, the user may not be aware of which type of detergent needs to be used, so that after the user selects the target washing program, the target type of detergent corresponding to the target washing program may be determined according to the pre-stored correspondence between the washing program and the type of detergent, and then the user is reminded of selecting the target type of detergent through the voice broadcasting device, so that the situation that the user uses the wrong type of detergent is reduced, and damage to clothes is further reduced.
For example, the voice broadcasting device may directly broadcast the target detergent type to remind the user to select the corresponding detergent. The user may also be alerted to select the corresponding detergent by broadcasting a voice similar to "the detergent type corresponding to the washing program is detergent a".
For a detailed description of the function of each module in this embodiment, reference is made to the description of the embodiment of the method, and detailed description thereof will not be provided herein.
Fig. 4 is a schematic structural diagram of a detergent recommending apparatus provided in an embodiment of the present application, as shown in fig. 4, in this embodiment, the apparatus may specifically include:
an acquisition module 401, configured to acquire, by the washing apparatus, historical washing data of a user within a preset period of time.
And the processing module 402 is used for determining the total usage amount corresponding to each type of detergent in the preset time period according to the historical washing data.
In this embodiment, in one possible implementation, the historical washing data is a detergent usage amount and a corresponding washing procedure at each washing, and the processing module is further configured to:
classifying the used amount of the detergents according to the washing programs, summing the used amounts of the detergents corresponding to each type of washing program, and determining the first initial total used amount of the detergents corresponding to each type of washing program.
Classifying the washing programs according to the pre-stored corresponding relation between the washing programs and the types of the detergents, and determining each washing program set corresponding to the types of the detergents.
And summing the total usage amount of the first initial detergents corresponding to each type of washing program in each washing program set to obtain the total usage amount corresponding to different types of detergents.
In another possible implementation, the historical washing data is a laundry weight at each washing and a corresponding washing program, and the processing module is further configured to:
and determining the detergent usage amount corresponding to the laundry weight during each washing according to the preset corresponding relation between the laundry weight and the detergent usage amount.
Classifying the used amount of the detergents corresponding to the weight of the clothes in each washing according to the washing program, summing the used amounts of the detergents corresponding to each washing program, and determining the second initial used total amount of the detergents corresponding to each washing program.
Classifying the washing programs according to a pre-stored table of the corresponding relation between the washing programs and the types of the detergents, and determining each washing program set corresponding to the types of the detergents.
And summing the total usage amount of the second initial detergents corresponding to each type of washing program in each washing program set to obtain the total usage amount corresponding to different types of detergents.
The processing module 402 is further configured to determine information to be recommended according to a pre-stored detergent purchase record and a total usage amount corresponding to each type of detergent in the preset time period.
In this embodiment, in one possible implementation, the detergent purchase record includes purchase amounts and purchase times of different types of detergents,
the processing module is further configured to:
and determining a first duration to be used corresponding to each type of detergent according to the purchase quantity of the different types of detergents and the total usage quantity corresponding to each type of detergent in the preset time period.
And determining the first pushing time corresponding to each type of detergent according to the purchase time and the first time to be used corresponding to each type of detergent.
And obtaining information to be recommended according to the first pushing moment.
In another possible implementation, the detergent purchase record contains purchase times for different types of detergents,
the processing module is further configured to:
and determining the estimated purchase quantity of each type of detergent according to the capacities and sales quantity of different types of detergents in the preset platform.
And determining the second time length to be used corresponding to each type of the detergent according to the estimated purchase quantity of the different types of the detergents and the total use quantity corresponding to each type of the detergents in the preset time period.
And determining the second pushing time corresponding to each type of detergent according to the purchase time and the second time length to be used corresponding to each type of detergent.
And obtaining information to be recommended according to the second pushing moment.
In another possible implementation, the detergent purchase record contains purchases of different types of detergents,
the processing module is further configured to:
and acquiring a target historical moment, wherein the target historical moment is the moment of pushing the previous adjacent historical recommended information.
And determining a third waiting time period corresponding to each type of detergent according to the purchase quantity of the different types of detergents and the total usage quantity corresponding to each type of detergent in the preset time period.
And determining a third pushing time corresponding to each type of detergent according to the target historical time and a third time length to be used corresponding to each type of detergent.
And obtaining information to be recommended according to the third pushing moment.
The processing module 402 is further configured to push the information to be recommended according to a preset pushing rule.
In this embodiment, if the information to be recommended includes pushing time of different types of detergents and corresponding recommended information of the detergents, the processing module is further configured to:
And pushing the recommended information of the different types of detergents to a user side at corresponding pushing moments and/or broadcasting through voice broadcasting equipment.
Further, the processing module is further configured to:
and acquiring the quantity of the detergent types corresponding to each pushing moment.
And if the number of the detergent types corresponding to the target pushing moment exceeds a preset number threshold, pushing the recommended information of the detergent with the preset number threshold at the target pushing moment.
Furthermore, in another embodiment, the processing module is further configured to:
the target washing program selected by the user is acquired.
And determining the target detergent type corresponding to the target washing program according to the pre-stored corresponding relation between the washing program and the detergent type.
And broadcasting the target detergent type through voice broadcasting equipment.
Fig. 5 is a schematic hardware structure of an electronic device provided in an embodiment of the present application, as shown in fig. 5, an electronic device 50 provided in the embodiment includes: a processor 501, and a memory 502 communicatively coupled to the processor. The electronic device 50 further comprises a communication part 503. The processor 501, the memory 502, and the communication unit 503 are connected via a bus 504.
In a specific implementation process, the memory 502 stores computer-executed instructions, and the processor 501 executes the computer-executed instructions stored in the memory 502 to implement the detergent recommendation method described in each embodiment.
The specific implementation process of the processor 501 may refer to the above-mentioned method embodiment, and its implementation principle and technical effects are similar, and this embodiment will not be described herein again.
In the embodiment shown in fig. 5, it should be understood that the processor may be a central processing unit (english: central Processing Unit, abbreviated as CPU), or may be other general purpose processors, digital signal processors (english: digital Signal Processor, abbreviated as DSP), application specific integrated circuits (english: application Specific Integrated Circuit, abbreviated as ASIC), or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in a processor for execution.
The memory may comprise high speed RAM memory or may further comprise non-volatile storage NVM, such as at least one disk memory.
The bus may be an industry standard architecture (Industry Standard Architecture, ISA) bus, an external device interconnect (Peripheral Component, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, the buses in the drawings of the present application are not limited to only one bus or one type of bus.
The embodiment of the application provides a computer readable storage medium, wherein computer execution instructions are stored in the computer readable storage medium, and when a processor executes the computer execution instructions, the detergent recommendation method in the embodiment of the method is realized.
The computer readable storage medium described above may be implemented by any type of volatile or non-volatile memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk. A readable storage medium can be any available medium that can be accessed by a general purpose or special purpose computer.
An exemplary readable storage medium is coupled to the processor such the processor can read information from, and write information to, the readable storage medium. In the alternative, the readable storage medium may be integral to the processor. The processor and the readable storage medium may reside in an application specific integrated circuit (Application Specific Integrated Circuits, ASIC for short). The processor and the readable storage medium may reside as discrete components in a device.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the method embodiments described above may be performed by hardware associated with program instructions. The foregoing program may be stored in a computer readable storage medium. The program, when executed, performs steps including the method embodiments described above; and the aforementioned storage medium includes: various media that can store program code, such as ROM, RAM, magnetic or optical disks.
An embodiment of the present application provides a computer program product, including a computer program, where the computer program is executed by a processor to implement the detergent recommendation method in the foregoing method embodiment.
Thus far, the technical solution of the present application has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present application is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present application, and such modifications and substitutions will be within the scope of the present application.

Claims (11)

1. A detergent recommended method, characterized by comprising:
acquiring historical washing data of a user in a preset time period through washing equipment;
determining the total usage amount corresponding to each type of detergent in the preset time period according to the historical washing data;
determining information to be recommended according to pre-stored detergent purchase records and the total usage amount corresponding to each type of detergent in the preset time period;
pushing the information to be recommended according to a preset pushing rule;
the historical washing data is the usage amount of the washing agent at each washing and the corresponding washing program,
the determining, according to the historical washing data, the total usage amount corresponding to the different types of detergents in the preset time period includes:
classifying the detergent usage according to the washing programs, and determining a detergent usage set corresponding to each type of washing program;
summing the usage amount of the detergents corresponding to each type of washing program to determine the total usage amount of the first initial detergent corresponding to each type of washing program;
classifying each washing program according to a pre-stored corresponding relation between the washing program and the type of the detergent, and determining each washing program set corresponding to the type of the detergent;
And summing the total usage amount of the first initial detergents corresponding to each type of washing program in each washing program set to obtain the total usage amount corresponding to different types of detergents.
2. The method of claim 1, wherein the historical washing data is a laundry weight at each wash and a corresponding wash program,
the determining, according to the historical washing data, the total usage amount corresponding to the different types of detergents in the preset time period includes:
determining the usage amount of the detergent corresponding to the weight of the clothes during each washing according to the corresponding relation between the preset weight of the clothes and the usage amount of the detergent;
classifying the used amount of the detergents corresponding to the weight of the clothes in each washing according to the washing program, summing the used amounts of the detergents corresponding to each type of washing program, and determining the second initial used total amount of the detergents corresponding to each type of washing program;
classifying each washing program according to a pre-stored corresponding relation table of washing programs and detergent types, and determining each washing program set corresponding to the detergent types;
and summing the total usage amount of the second initial detergents corresponding to each type of washing program in each washing program set to obtain the total usage amount corresponding to different types of detergents.
3. The method of claim 1, wherein the detergent purchase record includes purchase amounts and purchase times of different types of detergents,
the determining the information to be recommended according to the pre-stored detergent purchase record and the total usage amount corresponding to each type of detergent in the preset time period comprises the following steps:
determining a first duration to be used corresponding to each type of detergent according to the purchase amount of the different types of detergents and the total use amount corresponding to each type of detergent in the preset time period;
determining a first pushing moment corresponding to each type of detergent according to the purchase time and a first time to be used corresponding to each type of detergent;
and obtaining information to be recommended according to the first pushing moment.
4. The method of claim 1, wherein the detergent purchase record includes purchase times for different types of detergents,
the determining the information to be recommended according to the pre-stored detergent purchase record and the total usage amount corresponding to each type of detergent in the preset time period comprises the following steps:
determining estimated purchase quantity of each type of detergent according to the capacities and sales quantity of different types of detergents in a preset platform;
Determining a second waiting time length corresponding to each type of detergent according to the estimated purchase quantity of the different types of detergents and the total usage quantity corresponding to each type of detergent in the preset time period;
determining a second pushing moment corresponding to each type of detergent according to the purchase time and a second time length to be used corresponding to each type of detergent;
and obtaining information to be recommended according to the second pushing moment.
5. The method of claim 1, wherein the detergent purchase record includes purchase amounts of different types of detergents,
the determining the information to be recommended according to the pre-stored detergent purchase record and the total usage amount corresponding to each type of detergent in the preset time period comprises the following steps:
acquiring a target historical moment, wherein the target historical moment is the moment of pushing the previous adjacent historical recommendation information;
determining a third waiting time period corresponding to each type of detergent according to the purchase quantity of the different types of detergents and the total usage quantity corresponding to each type of detergent in the preset time period;
determining a third pushing time corresponding to each type of detergent according to the target historical time and a third to-be-used time length corresponding to each type of detergent;
And obtaining information to be recommended according to the third pushing moment.
6. The method according to any one of claims 1 to 5, wherein the pushing the information to be recommended according to a preset pushing rule includes:
and pushing the recommended information of the different types of detergents to a user side at corresponding pushing moments and/or broadcasting through voice broadcasting equipment.
7. The method of claim 6, wherein pushing the recommended information of the different types of detergents to the user side at the corresponding pushing moment and/or broadcasting by the voice broadcasting device comprises:
acquiring the quantity of the detergent types corresponding to each pushing moment;
and if the number of the detergent types corresponding to the target pushing moment exceeds a preset number threshold, pushing the recommended information of the detergent with the preset number threshold at the target pushing moment.
8. The method of any one of claims 1-5, further comprising, prior to said obtaining, by the washing apparatus, historical washing data of the user over a preset period of time:
Acquiring a target washing program selected by a user;
determining a target detergent type corresponding to the target washing program according to a pre-stored corresponding relation between the washing program and the detergent type;
and broadcasting the target detergent type through voice broadcasting equipment.
9. A detergent recommender comprising:
the acquisition module is used for acquiring historical washing data of a user in a preset time period through washing equipment;
the processing module is used for determining the total usage amount corresponding to each type of detergent in the preset time period according to the historical washing data;
the processing module is also used for determining information to be recommended according to a pre-stored detergent purchase record and the total usage amount corresponding to each type of detergent in the preset time period;
the processing module is further used for pushing the information to be recommended according to a preset pushing rule;
the historical washing data is the usage amount of the washing agent at each washing and the corresponding washing program,
the processing module is specifically configured to:
classifying the detergent usage according to the washing programs, and determining a detergent usage set corresponding to each type of washing program;
summing the usage amount of the detergents corresponding to each type of washing program to determine the total usage amount of the first initial detergent corresponding to each type of washing program;
Classifying each washing program according to a pre-stored corresponding relation between the washing program and the type of the detergent, and determining each washing program set corresponding to the type of the detergent;
and summing the total usage amount of the first initial detergents corresponding to each type of washing program in each washing program set to obtain the total usage amount corresponding to different types of detergents.
10. An electronic device, comprising: a processor, and a memory communicatively coupled to the processor;
the memory stores computer-executable instructions;
the processor executes computer-executable instructions stored in the memory to implement the detergent recommendation method as claimed in any one of claims 1-8.
11. A computer readable storage medium having stored therein computer executable instructions which, when executed by a processor, implement the detergent recommendation method as claimed in any one of claims 1 to 8.
CN202111136790.2A 2021-09-27 2021-09-27 Detergent recommending method and device and electronic equipment Active CN113944030B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111136790.2A CN113944030B (en) 2021-09-27 2021-09-27 Detergent recommending method and device and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111136790.2A CN113944030B (en) 2021-09-27 2021-09-27 Detergent recommending method and device and electronic equipment

Publications (2)

Publication Number Publication Date
CN113944030A CN113944030A (en) 2022-01-18
CN113944030B true CN113944030B (en) 2023-12-19

Family

ID=79329215

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111136790.2A Active CN113944030B (en) 2021-09-27 2021-09-27 Detergent recommending method and device and electronic equipment

Country Status (1)

Country Link
CN (1) CN113944030B (en)

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0666358A1 (en) * 1994-02-03 1995-08-09 MERLONI ELETTRODOMESTICI S.p.A. Washing machine with control of the detergent use and control method thereof
WO2012102528A2 (en) * 2011-01-25 2012-08-02 주식회사 대우일렉트로닉스 Method for warning about residual quantity of liquid detergent
JP2015039567A (en) * 2013-08-23 2015-03-02 株式会社ノーリツ Bathtub washing device
CN104685525A (en) * 2012-10-02 2015-06-03 宝洁公司 Reminder system associated with a consumer product
WO2016141648A1 (en) * 2015-03-10 2016-09-15 青岛海尔洗衣机有限公司 Intelligent clothing washing management apparatus and method, and washing machine
CN106498665A (en) * 2016-12-02 2017-03-15 北京小米移动软件有限公司 Determine method, device and the terminal of the detergent prompting threshold value of washing machine
US10003653B2 (en) * 2015-08-13 2018-06-19 Delaware Capital Formation, Inc. Wireless interface module for chemical dispensing system
CN110047218A (en) * 2019-03-08 2019-07-23 佛山市云米电器科技有限公司 The system that a kind of washing machine recommends purchase information automatically
KR20190107624A (en) * 2019-09-02 2019-09-20 엘지전자 주식회사 Washing machine for adjusting operation based on injected detergent and method for controlling the same
CN110448258A (en) * 2019-08-26 2019-11-15 青岛海尔科技有限公司 Based on the determination method and device of the cleaning agent of smart home operating system
CN110827103A (en) * 2018-08-07 2020-02-21 青岛海尔洗衣机有限公司 Method for automatically purchasing washing products for washing machine and washing machine
CN112036930A (en) * 2020-07-31 2020-12-04 海尔优家智能科技（北京）有限公司 Method, device and equipment for recommending laundry detergent
WO2021170066A1 (en) * 2020-02-27 2021-09-02 青岛海尔洗衣机有限公司 Detergent recommendation method and device

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102016212981A1 (en) * 2016-07-15 2018-01-18 Henkel Ag & Co. Kgaa Method and device for stock monitoring
DE102016212982A1 (en) * 2016-07-15 2018-01-18 Henkel Ag & Co. Kgaa Flushing chamber for stock monitoring
EP3759273B1 (en) * 2018-02-26 2024-02-07 Unilever IP Holdings B.V. Method for monitoring and replenishing a laundry dosing system with one or more reservoirs

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0666358A1 (en) * 1994-02-03 1995-08-09 MERLONI ELETTRODOMESTICI S.p.A. Washing machine with control of the detergent use and control method thereof
WO2012102528A2 (en) * 2011-01-25 2012-08-02 주식회사 대우일렉트로닉스 Method for warning about residual quantity of liquid detergent
CN104685525A (en) * 2012-10-02 2015-06-03 宝洁公司 Reminder system associated with a consumer product
JP2015039567A (en) * 2013-08-23 2015-03-02 株式会社ノーリツ Bathtub washing device
WO2016141648A1 (en) * 2015-03-10 2016-09-15 青岛海尔洗衣机有限公司 Intelligent clothing washing management apparatus and method, and washing machine
US10003653B2 (en) * 2015-08-13 2018-06-19 Delaware Capital Formation, Inc. Wireless interface module for chemical dispensing system
CN106498665A (en) * 2016-12-02 2017-03-15 北京小米移动软件有限公司 Determine method, device and the terminal of the detergent prompting threshold value of washing machine
CN110827103A (en) * 2018-08-07 2020-02-21 青岛海尔洗衣机有限公司 Method for automatically purchasing washing products for washing machine and washing machine
CN110047218A (en) * 2019-03-08 2019-07-23 佛山市云米电器科技有限公司 The system that a kind of washing machine recommends purchase information automatically
CN110448258A (en) * 2019-08-26 2019-11-15 青岛海尔科技有限公司 Based on the determination method and device of the cleaning agent of smart home operating system
KR20190107624A (en) * 2019-09-02 2019-09-20 엘지전자 주식회사 Washing machine for adjusting operation based on injected detergent and method for controlling the same
WO2021170066A1 (en) * 2020-02-27 2021-09-02 青岛海尔洗衣机有限公司 Detergent recommendation method and device
CN112036930A (en) * 2020-07-31 2020-12-04 海尔优家智能科技（北京）有限公司 Method, device and equipment for recommending laundry detergent

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
智能家居开启美好生活;科达数字100;《销售与市场(管理版) 》;第86-89页 *

Also Published As

Publication number Publication date
CN113944030A (en) 2022-01-18

Similar Documents

Publication Publication Date Title
CN110609780B (en) Data monitoring method and device, electronic equipment and storage medium
CN106814789B (en) Timing method and device
CN113265829A (en) Method and device for clothes washing reminding and washing machine
CN113944030B (en) Detergent recommending method and device and electronic equipment
CN114073447B (en) Control method of cleaning base station, cleaning base station and cleaning system
CN113598672B (en) Dosage control method and dosage control device for cleaning agent and washing equipment
CN113420211A (en) Package recommendation method and device and electronic equipment
CN111254638A (en) Washing method and system
CN114724314B (en) Pickup method and device, storage medium and electronic equipment
CN113308851B (en) Detergent recommendation method and equipment
CN114363675A (en) Video distribution method and device and cloud video server
CN113136684A (en) Information processing method and device
CN114245324A (en) Data flow reminding method and device, computer equipment and readable storage medium
JP2001202566A (en) Contents data using device, server device, contents data rental system and computer readable recording medium stored with program for making computer function as contents data using device
CN111144744A (en) Service processing method and device and electronic equipment
CN112036930A (en) Method, device and equipment for recommending laundry detergent
CN112254305A (en) Air supply control method and device and electronic device
CN112617669A (en) Information processing method, device, equipment and storage medium
CN113392313B (en) Target terminal service recommendation method and device, electronic equipment and storage medium
CN113957657B (en) Recommendation method, device and system for shared washing machine
CN114222261B (en) Application update control method and device, electronic equipment and storage medium
CN112546619B (en) Game on-hook method and device and electronic equipment
CN109905546B (en) Method and terminal for adjusting working state
CN113756042B (en) Equipment control method and device
CN115844297A (en) Control method and device of dish washing machine and electronic equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant