CN114016247B - Control method and system of clothes treatment equipment, electronic equipment and storage medium - Google Patents
Control method and system of clothes treatment equipment, electronic equipment and storage medium Download PDFInfo
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- CN114016247B CN114016247B CN202111222889.4A CN202111222889A CN114016247B CN 114016247 B CN114016247 B CN 114016247B CN 202111222889 A CN202111222889 A CN 202111222889A CN 114016247 B CN114016247 B CN 114016247B
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- 238000000034 method Methods 0.000 title claims abstract description 65
- 238000005406 washing Methods 0.000 claims abstract description 91
- 230000006399 behavior Effects 0.000 claims description 122
- 238000004590 computer program Methods 0.000 claims description 11
- 238000011109 contamination Methods 0.000 claims description 7
- 238000012163 sequencing technique Methods 0.000 claims description 5
- 230000000694 effects Effects 0.000 abstract description 15
- 238000005202 decontamination Methods 0.000 abstract description 5
- 230000003588 decontaminative effect Effects 0.000 abstract description 5
- 238000012545 processing Methods 0.000 description 19
- 239000003921 oil Substances 0.000 description 16
- 235000019198 oils Nutrition 0.000 description 16
- 238000013507 mapping Methods 0.000 description 13
- 239000000779 smoke Substances 0.000 description 13
- 238000004891 communication Methods 0.000 description 11
- 238000010411 cooking Methods 0.000 description 7
- 235000013305 food Nutrition 0.000 description 7
- 238000004851 dishwashing Methods 0.000 description 6
- 239000002245 particle Substances 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- 238000012937 correction Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 235000015205 orange juice Nutrition 0.000 description 2
- 235000021419 vinegar Nutrition 0.000 description 2
- 239000000052 vinegar Substances 0.000 description 2
- 244000000626 Daucus carota Species 0.000 description 1
- 235000002767 Daucus carota Nutrition 0.000 description 1
- 235000019483 Peanut oil Nutrition 0.000 description 1
- 235000019484 Rapeseed oil Nutrition 0.000 description 1
- 239000010775 animal oil Substances 0.000 description 1
- 235000015190 carrot juice Nutrition 0.000 description 1
- 239000003599 detergent Substances 0.000 description 1
- 238000001035 drying Methods 0.000 description 1
- 238000000802 evaporation-induced self-assembly Methods 0.000 description 1
- 239000010794 food waste Substances 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 239000000312 peanut oil Substances 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 230000001954 sterilising effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F33/00—Control of operations performed in washing machines or washer-dryers
- D06F33/30—Control of washing machines characterised by the purpose or target of the control
-
- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F33/00—Control of operations performed in washing machines or washer-dryers
- D06F33/30—Control of washing machines characterised by the purpose or target of the control
- D06F33/32—Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry
- D06F33/36—Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry of washing
-
- 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
-
- 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
-
- 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
- D06F2105/52—Changing sequence of operational steps; Carrying out additional operational steps; Modifying operational steps, e.g. by extending duration of steps
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- Engineering & Computer Science (AREA)
- Textile Engineering (AREA)
- Computer Networks & Wireless Communication (AREA)
- Control Of Washing Machine And Dryer (AREA)
Abstract
The application provides a control method, a control system, an electronic device and a storage medium of a clothes treatment device, wherein the method comprises the following steps: acquiring user behavior data detected by at least one kitchen electric device; and adjusting the washing program of the clothes treatment equipment according to the user behavior data corresponding to the at least one kitchen electric equipment. According to the household appliance washing program control method, the household appliances share data in the household appliance ecological system, the washing program of the clothes treatment equipment is adjusted according to the user behavior data generated by using the kitchen electric equipment, the clothes treatment equipment is controlled more intelligently, the adjusted washing program is more suitable for the load to be washed, and the washing effect is improved. According to the user behavior data of the kitchen electric equipment, the stain type and the pollution degree corresponding to the load to be washed are determined, the recommended weight of each washing program is further determined, and each washing program is ordered according to the recommended weight, so that the washing program with the higher order is more suitable for the load to be washed, and the decontamination washing effect is improved.
Description
Technical Field
The application belongs to the technical field of electrical equipment, and particularly relates to a control method and system of clothes treatment equipment, electronic equipment and a storage medium.
Background
At present, intelligent household appliances have become household appliances commonly used in family life of people, such as intelligent washing machines, intelligent range hoods, intelligent dish washers and the like. In the related art, the intelligent household appliances can be connected with a server through a network to form the home Internet of things. The server can communicate with the intelligent home appliance and send control instructions to the intelligent home appliance.
However, in the related art, different intelligent home appliances do not have deep association, for example, an intelligent washing machine cannot have control association with intelligent kitchen electric devices such as an intelligent range hood and an intelligent dish washer.
Disclosure of Invention
According to the control method, the control system, the electronic equipment and the storage medium of the clothes treatment equipment, the washing program of the clothes treatment equipment is adjusted according to the user behavior data generated by using the kitchen electric equipment, the household appliances share data in the household appliance ecosystem is realized, the clothes treatment equipment is controlled more intelligently, the adjusted washing program is more suitable for the load to be washed, and the washing effect is improved.
An embodiment of a first aspect of the present application provides a control method of a laundry treatment apparatus, applied to an intelligent wardrobe, including:
acquiring user behavior data detected by at least one kitchen electric device;
and adjusting the washing program of the clothes treatment equipment according to the user behavior data corresponding to the at least one kitchen electric equipment.
In some embodiments of the present application, the adjusting the washing program of the laundry treatment apparatus according to the user behavior data corresponding to the at least one kitchen electric apparatus includes:
and adjusting the recommended sequence of a plurality of washing programs of the clothes treatment equipment according to the user behavior data corresponding to the at least one kitchen electric equipment.
In some embodiments of the present application, the adjusting the recommended sequence of the plurality of washing programs of the laundry treatment apparatus according to the user behavior data corresponding to the at least one kitchen electric apparatus includes:
according to the user behavior data corresponding to the at least one kitchen electric device, determining the recommended weight of each washing program of the clothes treatment device respectively;
and sequencing each washing program according to the order of the recommended weight from high to low.
In some embodiments of the present application, the determining, according to the user behavior data corresponding to the at least one kitchen electric device, a recommended weight of each washing program of the laundry treatment device includes:
determining a recommendation coefficient corresponding to a first washing program according to user behavior data corresponding to each kitchen electric device, wherein the first washing program is any washing program of the clothes treatment device;
and calculating the recommendation weight of the first washing program according to each recommendation coefficient corresponding to the first washing program.
In some embodiments of the present application, the determining, according to the user behavior data corresponding to each kitchen electric device, a recommendation coefficient corresponding to the first washing program includes:
determining the stain type and the pollution degree corresponding to the load to be washed according to the user behavior data corresponding to the first kitchen electric equipment; the first kitchen electric device is any kitchen electric device in each kitchen electric device;
and determining a recommendation coefficient corresponding to the first washing program according to the stain type and the pollution degree.
In some embodiments of the present application, after the ranking of each washing program in the order of the recommended weight from high to low, the method further includes:
displaying the ordered each washing program;
and determining a target washing program selected by a user from the sorted washing programs, and executing the target washing program.
In some embodiments of the present application, before the performing the target washing program, the method further comprises:
and adjusting the washing parameters corresponding to the target washing program according to the user behavior data corresponding to the at least one kitchen electric device.
In some embodiments of the present application, the adjusting the washing parameter corresponding to the target washing program according to the user behavior data corresponding to the at least one kitchen electric device includes:
determining the stain type and the pollution degree corresponding to the load to be washed according to the user behavior data corresponding to the at least one kitchen electric device;
and adjusting the washing parameters corresponding to the target washing program according to the stain type and the pollution degree.
In some embodiments of the present application, the adjusting the washing program of the laundry treatment apparatus according to the user behavior data corresponding to the at least one kitchen electric apparatus includes:
and respectively adjusting the washing parameters corresponding to each washing program of the clothes treatment equipment according to the user behavior data corresponding to the at least one kitchen electric equipment.
In some embodiments of the present application, the acquiring user behavior data detected by the at least one kitchen electric device includes:
acquiring user behavior data detected by at least one kitchen electric device from a server; or,
user behavior data detected by at least one kitchen electrical device is obtained from the at least one kitchen electrical device.
Embodiments of a second aspect of the present application provide a control system of a laundry treatment apparatus, comprising: a laundry treatment apparatus and at least one kitchen appliance;
the at least one kitchen electrical device is used for detecting user behavior data;
the clothes treatment equipment is used for acquiring user behavior data detected by the at least one kitchen electric equipment; and adjusting the washing program of the clothes treatment equipment according to the user behavior data corresponding to the at least one kitchen electric equipment.
An embodiment of a third aspect of the present application provides a control device of a laundry treatment apparatus, including:
the acquisition module is used for acquiring user behavior data detected by at least one kitchen electric device;
and the adjusting module is used for adjusting the washing program of the clothes treatment equipment according to the user behavior data corresponding to the at least one kitchen electric equipment.
Embodiments of the fourth aspect of the present application provide an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor running the computer program to implement the method of the first aspect.
An embodiment of a fifth aspect of the present application provides a computer readable storage medium having stored thereon a computer program for execution by a processor to implement the method of the first aspect.
The technical scheme provided in the embodiment of the application has at least the following technical effects or advantages:
in the embodiment of the application, the clothes treatment device can acquire the user behavior data detected by the kitchen electric device, and the washing program of the clothes treatment device is adjusted according to the user behavior data. The household appliances share data in the household appliance ecological system, so that the clothes treatment equipment is controlled more intelligently, the adjusted washing program is more suitable for the load to be washed, and the washing effect is improved. Further, the stain type and the pollution degree corresponding to the load to be washed are determined according to the user behavior data of the kitchen electric equipment, the recommended weight of each washing program is further determined, and each washing program is ordered according to the recommended weight, so that the washing program with the higher order is more suitable for the load to be washed, and the decontamination washing effect is improved.
Additional aspects and advantages of the application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the application.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the application. Also, like reference numerals are used to designate like parts throughout the figures.
In the drawings:
fig. 1 illustrates a first network architecture diagram on which a control method of a laundry treating apparatus according to an embodiment of the present application is based;
fig. 2 illustrates a second network architecture diagram on which a control method of a laundry treating apparatus according to an embodiment of the present application is based;
fig. 3 illustrates a third network architecture diagram on which a control method of a laundry treating apparatus according to an embodiment of the present application is based;
fig. 4 is a flowchart illustrating a control method of a laundry treating apparatus according to an embodiment of the present application;
fig. 5 illustrates another flowchart of a control method of a laundry treatment apparatus according to an embodiment of the present application;
fig. 6 is a schematic view showing a structure of a control device of a laundry treating apparatus according to an embodiment of the present application.
Detailed Description
Exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
It is noted that unless otherwise indicated, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this application belongs.
A control method, system, electronic device and storage medium of a laundry treatment device according to an embodiment of the present application will be described below with reference to the accompanying drawings.
The embodiment of the application provides a control method of a clothes treatment device, which can acquire user behavior data detected by at least one kitchen electric device and adjust a washing program of the clothes treatment device according to the user behavior data. The household appliances share data in the household appliance ecological system, so that the clothes treatment equipment is controlled more intelligently, the adjusted washing program is more suitable for the load to be washed, and the washing effect is improved.
It should be noted that, the control method in the embodiment of the present application may be applied to a laundry treatment apparatus, and may also be applied to a user terminal for controlling the laundry treatment apparatus. The user terminal is provided with a client corresponding to the clothes treatment equipment, and can be a mobile phone or a computer of a user. The laundry treating apparatus may be a washing machine, a washing-drying integrated machine, or the like. The kitchen electric equipment can be a range hood, a dish washer, an oven, a microwave oven and the like. The control methods in the embodiments of the present application are all exemplified as applied to laundry treatment apparatuses.
As an example, as shown in fig. 1, the network architecture on which the control method provided in the embodiment of the present application is based at least includes a laundry processing device and at least one kitchen electric device. The laundry treatment device is connected to at least one kitchen appliance by means of WiFi, zigBee or bluetooth communication, and the kitchen appliance (range hood) is only schematically shown in fig. 1.
As another example, as shown in fig. 2, the network architecture includes a laundry treating apparatus, a user terminal, and at least one kitchen electric apparatus, and the laundry treating apparatus may be communicatively connected to the user terminal and the at least one kitchen electric apparatus through a communication manner such as WiFi, zigBee, or bluetooth. At least one kitchen electric device can also be in communication connection with the user terminal through communication modes such as WiFi, zigBee or Bluetooth. In fig. 2, the kitchen appliance (range hood) is also only schematically shown.
As yet another example, as shown in fig. 3, the network architecture includes a laundry treating apparatus, a user terminal, a server, and at least one kitchen appliance. Wherein, clothing treatment facility, user terminal, at least one kitchen electrical equipment all with server communication connection, only schematically show in fig. 3 range hood and dish washer two kitchen electrical equipment.
Based on the network architecture shown in fig. 1-3, the embodiment of the present application provides a control method of a laundry treatment apparatus, where the control method of the laundry treatment apparatus is applied to the laundry treatment apparatus, as shown in fig. 4, the method may include the following steps:
step 101, user behavior data detected by at least one kitchen electric device are obtained.
In one possible implementation, the laundry treatment apparatus, the at least one kitchen appliance, and the server are all communicatively connected. For each kitchen appliance of the at least one kitchen appliance, the kitchen appliance detects user behavior data generated by a user using the kitchen appliance and uploads the detected user behavior data to the server. The clothes treatment equipment actively acquires user behavior data of at least one kitchen electric equipment from the server when the clothes treatment equipment is started. Or after the server determines that the clothes treatment equipment is started, pushing the user behavior data of at least one kitchen electric equipment to the clothes treatment equipment.
For example, assuming that the at least one kitchen electric device includes a range hood and a dish washer, the range hood detects user behavior data generated by a user using the range hood and uploads the user behavior data corresponding to the range hood to the server. The dish-washing machine detects user behavior data generated by a user through the dish-washing machine, and uploads the user behavior data corresponding to the dish-washing machine to the server. The clothes processing equipment acquires user behavior data corresponding to the range hood and user behavior data corresponding to the dish washing machine from the server.
In another possible implementation, the laundry treatment device is directly connected in communication with at least one kitchen appliance, and the laundry treatment device actively acquires user behavior data from the at least one kitchen appliance when the laundry treatment device is switched on. Alternatively, the at least one kitchen appliance pushes the user behavior data to the laundry treatment device.
For example, the laundry treatment apparatus or user terminal is directly in communication with the range hood and the dishwasher, and the laundry treatment apparatus or user terminal obtains user behavior data generated by a user using the range hood from the range hood and user behavior data generated by a user using the dishwasher from the dishwasher.
In another possible implementation, the laundry treatment apparatus may be communicatively connected to a user terminal, which is communicatively connected to at least one kitchen appliance. The user terminal obtains user behavior data from the at least one kitchen electrical device, and the clothes processing device obtains user behavior data of the at least one kitchen electrical device from the user terminal.
In the above embodiments, the user behavior data corresponding to the kitchen electric appliance is data detected by the kitchen electric appliance through various sensors or other detecting devices. For the range hood, the corresponding user behavior data is user behavior data generated by using the range hood by a user in the cooking process, and can comprise the type of oil smoke, the concentration of oil smoke particles, the temperature of cooking kitchen ware and the like. The range hood can detect the type of oil smoke used by a user in cooking through the oil smoke sensor and/or the smell sensor, and detect the concentration of oil smoke particles in air, and the type of oil smoke can comprise peanut oil, rapeseed oil or animal oil and the like. The range hood can detect the temperature of the cooking kitchen ware through the infrared sensor.
The corresponding user behavior data of the dish washer is behavior data of dining of the user detected by the dish washer in the process of using the dish washer to wash tableware, and the behavior data can comprise food types, stain types and the like. The dishwasher can detect the PH value of food residues remained on the tableware through the oil stain sensor, and determine the type of food eaten by a user and the type of stains corresponding to the stains possibly formed on the clothes according to the detected PH value and the PH value of various foods. Wherein the food can be vinegar, carrot, orange juice, etc., and the stain can be vinegar, carrot juice, orange juice, oil stain, etc.
Step 102, according to the user behavior data corresponding to at least one kitchen electric device, adjusting the washing program of the clothes treatment device.
The laundry treating apparatus has a plurality of washing courses such as a micro steam sterilizing washing, a mite removing washing, a cold water washing, a quick washing, an underwear washing, a mix washing, and the like. Each time a user needs to perform washing using the laundry treatment apparatus, the laundry treatment apparatus displays a plurality of washing courses, and the user selects one washing course from the displayed plurality of washing courses, and the laundry treatment apparatus performs the washing course selected by the user.
After the user behavior data of at least one kitchen electric device is obtained through step 101, the laundry treatment device may adjust the recommended sequence of each washing program according to the obtained user behavior data, so that the washing program more suitable for the load to be washed is arranged in front, and the probability of selecting the more suitable washing program by the user is improved.
Firstly, the clothes treatment equipment respectively determines the recommended weight of each washing program of the clothes treatment equipment according to user behavior data corresponding to at least one kitchen electric equipment.
Any one of the washing courses of the laundry treating apparatus will be referred to as a first washing course for convenience of description of the embodiments of the present application. And determining a recommendation coefficient corresponding to the first washing program according to the user behavior data corresponding to each kitchen electric device. Specifically, for any one of the kitchen electric devices, the embodiment of the application is called a first kitchen electric device. And determining the stain type and the pollution degree corresponding to the load to be washed according to the user behavior data corresponding to the first kitchen electric equipment. And determining a recommendation coefficient corresponding to the first washing program according to the determined stain type and the determined pollution degree.
In the embodiment of the application, a first mapping relation between different user behavior data and stain types and pollution degrees is preconfigured in the clothes treatment equipment, and a second mapping relation between the stain types, the pollution degrees and recommended coefficients of all washing programs is preconfigured. The clothes treatment device determines the stain type and the pollution degree corresponding to the load to be washed according to the user behavior data of the first kitchen electric device and a first mapping relation which is configured in advance. And then determining a recommendation coefficient corresponding to the first washing program according to the determined stain type and the determined pollution degree and combining a second mapping relation which is pre-configured.
Among other things, different types of stains on which different wash programs are focused, the wash programs are able to wash cleaner their focused types of stains. The higher the level of contamination for the same stain type, the greater the recommended coefficient for the wash program that is focused on that stain type.
If the first kitchen electrical equipment is a range hood, the user behavior data corresponding to the range hood comprises the type of the oil smoke, the concentration of oil smoke particles, the temperature of the cooking kitchen ware and the like. The first mapping relation pre-configured in the clothes treatment equipment comprises the corresponding relation between the oil smoke type, the oil smoke particle concentration range and the temperature range of the cooking range, the stain type and the pollution degree. After the clothes processing equipment obtains the user behavior data of the range hood, the range of the concentration of the oil smoke particles, which is included in the user behavior data, is determined, and the temperature range, which is included in the user behavior data and is used for cooking kitchen ware, is determined. And then acquiring the corresponding stain type and pollution degree from the first mapping relation according to the oil smoke type included in the user behavior data and the determined oil smoke particle concentration interval and temperature interval. And acquiring corresponding recommendation coefficients from the second mapping relation according to the acquired stain types and the pollution degrees.
If the first kitchen electric equipment is a dish washer, the corresponding user behavior data of the dish washer comprise food types, stain types and the like. The first mapping relation preconfigured in the clothes treating apparatus includes the corresponding relation of the food kind and the stain kind, the stain type and the stain degree. After the clothes processing equipment obtains the user behavior data of the dish washing machine, according to the food types and the stain types included in the user behavior data, the corresponding stain types and the corresponding stain degrees are obtained from the first mapping relation. And acquiring corresponding recommendation coefficients from the second mapping relation according to the acquired stain types and the pollution degrees.
For each other kitchen electric device in the at least one kitchen electric device, the clothes processing device respectively determines the recommendation coefficient corresponding to the first washing program according to the user behavior data of each other kitchen electric device in the same manner.
Thus, a plurality of recommendation coefficients corresponding to the first washing program are obtained, and then recommendation weights of the first washing program are calculated according to each recommendation coefficient corresponding to the first washing program.
In one possible implementation, each recommendation coefficient corresponding to the first washing program may be summed, and the calculated sum value is taken as the recommendation weight of the first washing program. In another possible implementation manner, an average value of each recommended coefficient corresponding to the first washing program may be calculated, and the average value is taken as a recommended weight of the first washing program.
For each of the other washing programs of the laundry treating apparatus, a recommended weight of each of the other washing programs is determined in a manner similar to the determination of the recommended weight of the first washing program.
After the recommended weight of each washing program of the laundry treating apparatus is determined in the above manner, each washing program is ordered in the order of the recommended weight from high to low. Each of the ordered washing programs is then displayed, and the user can select a target washing program from the displayed plurality of washing programs.
And determining the corresponding stain type and the pollution degree according to the user behavior data generated by using the kitchen electric equipment by the user. And assigning a recommended weight to each washing program according to the determined stain type and the determined pollution degree, and recommending each washing program according to the sequence from high to low according to the recommended weight. The household appliance ecological system is composed of the kitchen electric equipment, the clothes processing equipment and the like, user behavior data generated by using the kitchen electric equipment by a user are shared between the kitchen electric equipment and the clothes processing equipment, the stain type and the pollution degree on a load to be washed are estimated according to the user behavior data, and then an applicable washing program is recommended to the user according to the stain type and the pollution degree. The higher the recommended weight among the plurality of washing programs displayed, the higher the ranking, the higher the probability of being selected by the user.
In the embodiment of the application, the laundry treatment apparatus may be the laundry treatment apparatus itself and/or a user terminal.
The recommended weight of each washing program and/or each washing program ordered according to the recommended weight may be shared between the laundry treating apparatus and the user terminal. That is, after the laundry treating apparatus determines the recommended weights of the respective washing courses, the recommended weights of the respective washing courses may be transmitted to the user terminal. After receiving the recommended weights of the washing programs sent by the clothes treatment device, the user terminal can sort and display the washing programs according to the recommended weights. The laundry treatment apparatus may sort the washing programs according to recommended weights of the washing programs, and then transmit identification information of the sorted washing programs to the user terminal. And after receiving the identification information of each sequenced washing program, the user terminal displays each sequenced washing program. The identification information of the washing program may be a name or number of the washing program, etc.
The recommended weights of the respective washing programs may also be determined by the user terminal and then transmitted to the laundry treating apparatus. Or after the user terminal ranks according to the recommended weight of each washing program, the user terminal sends the identification information of each ranked washing program to the clothes treatment equipment.
In another implementation manner, the recommended weights of the washing programs may be determined by the laundry processing device and the user terminal according to the method of the embodiment of the present application, and the washing programs may be displayed after being sorted according to the recommended weights.
After the laundry treating apparatus and/or the user terminal displays the ordered plurality of washing courses, the user may select one washing course from the plurality of washing courses as a target washing course. After the laundry treating apparatus or the user terminal determines the target washing course selected by the user, the target washing course may be directly executed to wash the load. Because the plurality of washing programs are displayed and arranged according to the sequence from high to low according to the recommended weight, the probability of selecting the washing program arranged in front by a user is very high, and the selected target washing program is more suitable for the types of stains possibly existing in the load to be washed, so that a very good decontamination washing effect can be realized.
In other embodiments, after the laundry treatment apparatus or the user terminal determines the target washing program selected by the user, the washing parameter corresponding to the target washing program may be adjusted according to the user behavior data of the at least one kitchen appliance obtained in step 101. The washing parameters include temperature, washing time, usage amount of the detergent, etc.
Specifically, the clothes treatment device or the user terminal determines the stain type and the stain degree corresponding to the load to be washed according to the user behavior data corresponding to the at least one kitchen electric device. The specific determining process is the same as the process of determining the stain type and the pollution degree according to the user behavior data of the kitchen electric equipment, and is not repeated here. And adjusting the washing parameters corresponding to the target washing program according to the determined stain type and the determined pollution degree.
The embodiment of the application can pre-configure the third mapping relation of the stain type, the pollution degree and the adjustment proportion of each washing parameter in the clothes treatment equipment. After determining the stain type and the pollution degree, the clothes treatment equipment obtains the current value of each washing parameter in the target washing program from the third mapping relation respectively or according to the adjustment proportion corresponding to each washing parameter, calculates the correction value of the washing parameter according to the current value of the washing parameter and the adjustment proportion corresponding to the washing parameter, and modifies the current value of the washing parameter in the target washing program into the correction value.
For example, assuming that the determined stain type is "greasy", the contamination level is 5 (the value interval of the contamination level may be 1-10, the greater the value, the higher the contamination level). Assuming that the adjustment ratio of the temperature parameter of the target washing program is 2 according to the stain type oil stain and the pollution degree 5 from the third mapping relation. The current value of the temperature parameter in the target washing program is obtained to be 40 ℃, and the corrected value of the temperature parameter is calculated to be 80 ℃. The current value of the temperature parameter in the target washing program, 40 ℃, is modified to 80 ℃.
According to the method, the stain type and the pollution degree are determined according to the user behavior data of the kitchen electric equipment, and then the washing parameters of the target washing program are adjusted according to the stain type and the pollution degree, so that the target washing program is more suitable for clothes to be washed, and the decontamination washing effect is improved.
In other embodiments of the present application, the laundry treating apparatus may further adjust the washing parameter of each washing course of the laundry treating apparatus according to the user behavior data of the kitchen electric apparatus, respectively. The adjustment process is the same as the above-mentioned process of adjusting the washing parameters of the target washing process, and will not be described again here.
If the user terminal adjusts the washing parameters of the washing program, the user terminal also transmits the adjusted washing parameters of the washing program to the clothes treatment device. After receiving the adjusted washing parameters corresponding to the washing program, the clothes processing equipment modifies the washing parameters of the local washing program into the corresponding adjusted washing parameters.
In order to facilitate understanding of the control method provided in the embodiments of the present application, a kitchen appliance including a range hood and a dish washer, and a laundry treatment apparatus as a washing machine will be described below with reference to the accompanying drawings. As shown in fig. 5, S1: and the range hood sends the detected user behavior data to a server. S2: the dishwasher transmits the detected user behavior data to the server. S3: the washing machine and/or the user terminal acquire user behavior data of the range hood and user behavior data of the dish washer from the server. S4: the washing machine and/or the user terminal respectively determine the recommended weight of each washing program of the clothes processing equipment according to the user behavior data of the range hood and the user behavior data of the dish washing machine. S5: the washing machine and/or the user terminal sorts each washing program according to the order of the recommended weight from high to low, and displays each washing program after sorting.
In the embodiment of the application, the clothes treatment device can acquire the user behavior data detected by the kitchen electric device, and the washing program of the clothes treatment device is adjusted according to the user behavior data. The household appliances share data in the household appliance ecological system, so that the clothes treatment equipment is controlled more intelligently, the adjusted washing program is more suitable for the load to be washed, and the washing effect is improved. Further, the stain type and the pollution degree corresponding to the load to be washed are determined according to the user behavior data of the kitchen electric equipment, the recommended weight of each washing program is further determined, and each washing program is ordered according to the recommended weight, so that the washing program with the higher order is more suitable for the load to be washed, and the decontamination washing effect is improved.
The embodiment of the application provides a control system of a clothes treatment device, which is used for executing the control method of the clothes treatment device provided by any embodiment. As shown in fig. 1-3, the system includes: a laundry treatment apparatus and at least one kitchen appliance; the laundry treatment apparatus may include the laundry treatment apparatus itself and/or a user terminal.
At least one kitchen appliance for detecting user behavior data;
the clothes treatment equipment is used for acquiring user behavior data detected by at least one kitchen electric equipment; and adjusting the washing program of the clothes treatment equipment according to the user behavior data corresponding to the at least one kitchen electric equipment.
The control system of the laundry treatment apparatus provided by the above-described embodiments of the present application and the control method of the laundry treatment apparatus provided by the embodiments of the present application have the same advantageous effects as the method adopted, operated or implemented by the application program stored therein, because of the same inventive concept.
An embodiment of the present application provides a control apparatus of a laundry treatment apparatus for executing the control method of the laundry treatment apparatus provided in any one of the above embodiments, as shown in fig. 6, the apparatus includes:
an acquisition module 201, configured to acquire user behavior data detected by at least one kitchen electrical device;
the adjusting module 202 is configured to adjust a washing program of the laundry processing apparatus according to user behavior data corresponding to at least one kitchen electrical apparatus.
The adjustment module 202 is configured to adjust a recommended sequence of a plurality of washing programs of the laundry processing apparatus according to user behavior data corresponding to at least one kitchen electrical apparatus.
An adjustment module 202, configured to determine a recommended weight of each washing program of the laundry treatment apparatus according to user behavior data corresponding to at least one kitchen electrical apparatus, respectively; and sequencing each washing program according to the sequence from high to low of the recommended weight.
The adjusting module 202 is configured to determine a recommendation coefficient corresponding to a first washing program according to user behavior data corresponding to each kitchen electrical device, where the first washing program is any washing program of the laundry processing device; and calculating the recommendation weight of the first washing program according to each recommendation coefficient corresponding to the first washing program.
The adjusting module 202 is configured to determine a stain type and a pollution level corresponding to a load to be washed according to user behavior data corresponding to the first kitchen electric device; the first kitchen electrical equipment is any one of the kitchen electrical equipment; and determining a recommendation coefficient corresponding to the first washing program according to the stain type and the pollution degree.
The apparatus further comprises: the display module is used for displaying each ordered washing program;
and the program execution module is used for determining a target washing program selected by a user from each ordered washing program and executing the target washing program.
The adjustment module 202 is further configured to adjust a washing parameter corresponding to the target washing program according to user behavior data corresponding to at least one kitchen electric device.
The adjusting module 202 is further configured to determine a stain type and a pollution level corresponding to the load to be washed according to user behavior data corresponding to at least one kitchen electric device; and adjusting the washing parameters corresponding to the target washing program according to the stain type and the pollution degree.
The adjusting module 202 is further configured to adjust a washing parameter corresponding to each washing program of the laundry processing apparatus according to the user behavior data corresponding to the at least one kitchen electrical apparatus.
An acquisition module 201, configured to acquire user behavior data detected by at least one kitchen electrical device from a server; alternatively, user behavior data detected by the at least one kitchen appliance is obtained from the at least one kitchen appliance.
The control device of the laundry treatment apparatus provided by the above-described embodiments of the present application and the control method of the laundry treatment apparatus provided by the embodiments of the present application have the same advantageous effects as the method adopted, operated or implemented by the application program stored therein, because of the same inventive concept.
The embodiment of the application also provides an electronic device for executing the control method of the clothes treatment device. The electronic device is a laundry treatment device, including the laundry treatment device itself and/or a user terminal. The electronic device includes: the device comprises a processor, a memory, a bus and a communication interface, wherein the processor, the communication interface and the memory 601 are connected through the bus; the memory stores a computer program executable on the processor, and the processor executes the control method of the laundry treatment apparatus provided in any one of the foregoing embodiments of the present application when the computer program is executed.
The memory may include a high-speed random access memory (RAM: random Access Memory), and may further include a non-volatile memory (non-volatile memory), such as at least one disk memory. The communication connection between the system network element and the at least one other network element is implemented through at least one communication interface (which may be wired or wireless), the internet, a wide area network, a local network, a metropolitan area network, etc. may be used.
The bus may be an ISA bus, a PCI bus, an EISA bus, or the like. The buses may be classified as address buses, data buses, control buses, etc. The memory is configured to store a program, and the processor executes the program after receiving an execution instruction, and the control method of the laundry processing apparatus disclosed in any of the foregoing embodiments of the present application may be applied to the processor or implemented by the processor.
The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or by instructions in the form of software. The processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU for short), a network processor (Network Processor, NP for short), etc.; but may also be a Digital Signal Processor (DSP), application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present application may be implemented or performed. 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 embodiments of the present application may be embodied directly in hardware, in a decoded processor, or in a combination of hardware and software modules in a decoded processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory, and the processor reads the information in the memory and, in combination with its hardware, performs the steps of the above method.
The laundry treatment apparatus provided by the embodiment of the present application and the control method of the laundry treatment apparatus provided by the embodiment of the present application are the same inventive concept, and have the same advantageous effects as the method adopted, operated or implemented by the same.
The present embodiment also provides a computer readable storage medium corresponding to the control method of the laundry treatment apparatus provided in the foregoing embodiment, where the computer readable storage medium is an optical disc, and a computer program (i.e., a program product) is stored thereon, and when the computer program is executed by a processor, the computer program performs the control method of the laundry treatment apparatus provided in any of the foregoing embodiments.
It should be noted that examples of the computer readable storage medium may also include, but are not limited to, a phase change memory (PRAM), a Static Random Access Memory (SRAM), a Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a flash memory, or other optical or magnetic storage medium, which will not be described in detail herein.
The computer-readable storage medium provided by the above-described embodiments of the present application has the same advantageous effects as the method adopted, operated or implemented by the application program stored therein, for the same inventive concept as the control method of the laundry treating apparatus provided by the embodiments of the present application.
It should be noted that:
in the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the present application may be practiced without these specific details. In some instances, well-known structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the application, various features of the application are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the application and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be construed as reflecting the following schematic diagram: i.e., the claimed application requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this application.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features but not others included in other embodiments, combinations of features of different embodiments are meant to be within the scope of the present application and form different embodiments. For example, in the following claims, any of the claimed embodiments can be used in any combination.
The foregoing is merely a preferred embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions easily contemplated by those skilled in the art within the technical scope of the present application should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (12)
1. A control method of a laundry treatment apparatus, comprising:
acquiring user behavior data detected by at least one kitchen electric device; the user behavior data are generated by detecting the use of the kitchen electric equipment by a user according to the kitchen electric equipment;
determining the corresponding stain type and the pollution degree according to the user behavior data corresponding to the at least one kitchen electric device;
determining a recommended weight for each washing program of the laundry treatment apparatus according to the stain type and the degree of contamination, respectively;
and sequencing each washing program according to the order of the recommended weight from high to low.
2. The method according to claim 1, wherein the determining the recommended weight of each washing program of the laundry treatment apparatus according to the user behavior data corresponding to the at least one kitchen electric apparatus, respectively, comprises:
determining a recommendation coefficient corresponding to a first washing program according to user behavior data corresponding to each kitchen electric device, wherein the first washing program is any washing program of the clothes treatment device;
and calculating the recommendation weight of the first washing program according to each recommendation coefficient corresponding to the first washing program.
3. The method of claim 2, wherein determining the recommendation coefficient corresponding to the first washing program according to the user behavior data corresponding to each kitchen appliance, respectively, comprises:
determining the stain type and the pollution degree corresponding to the load to be washed according to the user behavior data corresponding to the first kitchen electric equipment; the first kitchen electric device is any kitchen electric device in each kitchen electric device;
and determining a recommendation coefficient corresponding to the first washing program according to the stain type and the pollution degree.
4. The method of claim 1, wherein after said ranking each washing program in order of recommended weight from high to low, further comprising:
displaying the ordered each washing program;
and determining a target washing program selected by a user from the sorted washing programs, and executing the target washing program.
5. The method of claim 4, wherein prior to said executing said target wash program, further comprising:
and adjusting the washing parameters corresponding to the target washing program according to the user behavior data corresponding to the at least one kitchen electric device.
6. The method of claim 5, wherein adjusting the washing parameters corresponding to the target washing program according to the user behavior data corresponding to the at least one kitchen appliance comprises:
determining the stain type and the pollution degree corresponding to the load to be washed according to the user behavior data corresponding to the at least one kitchen electric device;
and adjusting the washing parameters corresponding to the target washing program according to the stain type and the pollution degree.
7. The method according to claim 1, wherein adjusting the washing program of the laundry treatment apparatus according to the user behavior data corresponding to the at least one kitchen electric apparatus comprises:
and respectively adjusting the washing parameters corresponding to each washing program of the clothes treatment equipment according to the user behavior data corresponding to the at least one kitchen electric equipment.
8. The method according to any one of claims 1-7, wherein the obtaining user behavior data detected by at least one kitchen appliance comprises:
acquiring user behavior data detected by at least one kitchen electric device from a server; or,
user behavior data detected by at least one kitchen electrical device is obtained from the at least one kitchen electrical device.
9. A control system of a laundry treatment apparatus, comprising: a laundry treatment apparatus and at least one kitchen appliance;
the at least one kitchen electrical device is used for detecting user behavior data; the user behavior data are generated by detecting the use of the kitchen electric equipment by a user according to the kitchen electric equipment; the clothes treatment equipment is used for acquiring user behavior data detected by the at least one kitchen electric equipment; determining the corresponding stain type and the pollution degree according to the user behavior data corresponding to the at least one kitchen electric device; determining a recommended weight for each washing program of the laundry treatment apparatus according to the stain type and the degree of contamination, respectively; and sequencing each washing program according to the order of the recommended weight from high to low.
10. A control device of a laundry treatment apparatus, comprising:
the acquisition module is used for acquiring user behavior data detected by at least one kitchen electric device; the user behavior data are generated by detecting the use of the kitchen electric equipment by a user according to the kitchen electric equipment;
the adjusting module is used for determining the corresponding stain type and the pollution degree according to the user behavior data corresponding to the at least one kitchen electric device; determining a recommended weight for each washing program of the laundry treatment apparatus according to the stain type and the degree of contamination, respectively; and sequencing each washing program according to the order of the recommended weight from high to low.
11. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor runs the computer program to implement the method of any one of claims 1-8.
12. A computer readable storage medium having stored thereon a computer program, wherein the program is executed by a processor to implement the method of any of claims 1-8.
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| CN114960111B (en) * | 2022-06-28 | 2024-06-21 | 海信冰箱有限公司 | Method and device for determining washing program |
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| CN111241921A (en) * | 2019-12-27 | 2020-06-05 | 青岛海尔科技有限公司 | Message reminding method and device for Internet of things operating system |
| CN111247284A (en) * | 2017-08-30 | 2020-06-05 | 三星电子株式会社 | Electronic device and control method thereof |
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| CN111247284A (en) * | 2017-08-30 | 2020-06-05 | 三星电子株式会社 | Electronic device and control method thereof |
| KR20190104939A (en) * | 2019-08-22 | 2019-09-11 | 엘지전자 주식회사 | Operating mode determining method and operating mode determining device |
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