CN114016247A - 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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- CN114016247A CN114016247A CN202111222889.4A CN202111222889A CN114016247A CN 114016247 A CN114016247 A CN 114016247A CN 202111222889 A CN202111222889 A CN 202111222889A CN 114016247 A CN114016247 A CN 114016247A
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- 238000000034 method Methods 0.000 title claims abstract description 67
- 238000005406 washing Methods 0.000 claims abstract description 106
- 238000012545 processing Methods 0.000 claims abstract description 27
- 230000006399 behavior Effects 0.000 claims description 121
- 238000004590 computer program Methods 0.000 claims description 11
- 238000012163 sequencing technique Methods 0.000 claims description 2
- 230000000694 effects Effects 0.000 abstract description 12
- 238000005202 decontamination Methods 0.000 abstract description 5
- 230000003588 decontaminative effect Effects 0.000 abstract description 5
- 239000003921 oil Substances 0.000 description 16
- 235000019198 oils Nutrition 0.000 description 16
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- 238000010411 cooking Methods 0.000 description 7
- 239000002245 particle Substances 0.000 description 7
- 230000009286 beneficial effect Effects 0.000 description 4
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- 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
- 238000001514 detection method Methods 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
- 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
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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
Abstract
The application provides a control method, a system, an electronic device and a storage medium of a clothes processing device, wherein the method comprises the following steps: acquiring user behavior data detected by at least one kitchen electrical equipment; and adjusting the washing program of the clothes treatment equipment according to the user behavior data corresponding to the at least one kitchen electrical equipment. According to the method and the device, the household appliances share data in the household appliance ecosystem, the washing program of the clothes treatment equipment is adjusted according to user behavior data generated by the user using the kitchen electrical equipment, the more intelligent control on the clothes treatment equipment is realized, the adjusted washing program is more suitable for loads to be washed, and the washing effect is improved. 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 electrical equipment, the recommended weight of each washing program is further determined, each washing program is sequenced according to the recommended weights, the washing programs which are sequenced more forwards are 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 become household appliances commonly used in family life of people, such as an intelligent washing machine, an intelligent range hood, an intelligent dish washing machine and the like. In the related art, the intelligent household appliances can be connected with a server through a network to form a home Internet of things. The server can communicate with the intelligent household appliances and send control instructions to the intelligent household appliances.
However, in the related art, different intelligent household appliances are not deeply related to each other, for example, an intelligent washing machine cannot be related to control of intelligent kitchen appliances such as an intelligent range hood and an intelligent dishwasher.
Disclosure of Invention
The application provides a control method and system of clothes treatment equipment, electronic equipment and a storage medium, a washing program of the clothes treatment equipment is adjusted according to user behavior data generated by a user using kitchen electrical equipment, household appliances in a household appliance ecosystem share data, the clothes treatment equipment is controlled more intelligently, the adjusted washing program is more suitable for loads to be washed, and the washing effect is improved.
An embodiment of a first aspect of the application provides a control method of a clothes treatment device, which is applied to an intelligent wardrobe and comprises the following steps:
acquiring user behavior data detected by at least one kitchen electrical equipment;
and adjusting the washing program of the clothes treatment equipment according to the user behavior data corresponding to the at least one kitchen electrical equipment.
In some embodiments of the present application, the adjusting the washing program of the laundry treatment device according to the user behavior data corresponding to the at least one kitchen appliance 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 electrical equipment.
In some embodiments of the present application, the adjusting the recommended sequence of the plurality of washing programs of the laundry treatment device according to the user behavior data corresponding to the at least one kitchen appliance includes:
respectively determining the recommended weight of each washing program of the clothes treatment equipment according to the user behavior data corresponding to the at least one kitchen electrical equipment;
and sequencing each washing program according to the recommended weight from high to low.
In some embodiments of the present application, the determining the recommended weight of each washing program of the laundry treatment device according to the user behavior data corresponding to the at least one kitchen appliance includes:
determining a recommendation coefficient corresponding to a first washing program according to user behavior data corresponding to each kitchen electrical equipment, wherein the first washing program is any one washing program of the clothes processing equipment;
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 application, the determining a recommendation coefficient corresponding to the first washing program according to the user behavior data corresponding to each kitchen electrical appliance 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 electrical equipment; the first kitchen electrical equipment is any one of the kitchen electrical equipment;
and determining a recommended 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 sorting the washing programs according to the recommended weight from high to low, the method further includes:
displaying the sorted 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 executing the target washing program, the method further includes:
and adjusting the washing parameters corresponding to the target washing program according to the user behavior data corresponding to the at least one kitchen electrical equipment.
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 electrical 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 electrical device;
and adjusting 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 device according to the user behavior data corresponding to the at least one kitchen appliance includes:
and respectively adjusting washing parameters corresponding to each washing program of the clothes processing equipment according to the user behavior data corresponding to the at least one kitchen electrical equipment.
In some embodiments of the present application, the acquiring the user behavior data detected by the at least one kitchen electrical device includes:
acquiring user behavior data detected by at least one kitchen electrical equipment from a server; alternatively, the first and second electrodes may be,
user behavior data detected by at least one kitchen electrical device is obtained from the at least one kitchen electrical device.
An embodiment of a second aspect of the present application provides a control system of a laundry treating apparatus, including: a laundry treatment appliance 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 electrical equipment; and adjusting the washing program of the clothes treatment equipment according to the user behavior data corresponding to the at least one kitchen electrical equipment.
An embodiment of a third aspect of the present application provides a control device of a laundry treating apparatus, including:
the acquisition module is used for acquiring user behavior data detected by at least one kitchen electrical equipment;
and the adjusting module is used for adjusting the washing program of the clothes processing equipment according to the user behavior data corresponding to the at least one kitchen electrical equipment.
An embodiment of a fourth aspect of the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes 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 a computer program stored thereon, the program being executable by a processor to implement the method of the first aspect.
The technical scheme provided in the embodiment of the application at least has the following technical effects or advantages:
in the embodiment of the application, the clothes treatment equipment can acquire the user behavior data detected by the kitchen electrical equipment, and adjust the washing program of the clothes treatment equipment according to the user behavior data. Through household appliances sharing data in the household appliance ecosystem, 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. Furthermore, 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 electrical equipment, the recommended weight of each washing program is further determined, each washing program is sequenced according to the recommended weights, the washing programs which are sequenced more forwards are more suitable for the load to be washed, and the decontamination washing effect is improved.
Additional aspects and advantages of the present 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 present 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 refer to like parts throughout the drawings.
In the drawings:
fig. 1 illustrates a first network architecture diagram on which a control method of a laundry treatment apparatus provided in 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 provided by 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 provided by an embodiment of the present application is based;
fig. 4 is a flowchart illustrating a control method of a laundry treating apparatus provided in an embodiment of the present application;
fig. 5 illustrates another flowchart of a control method of a laundry treating apparatus provided in an embodiment of the present application;
fig. 6 is a schematic structural diagram illustrating 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 to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which this application belongs.
A control method, a system, an electronic device, and a storage medium of a laundry treatment device according to embodiments of the present application are 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 electrical device and adjust a washing program of the clothes treatment device according to the user behavior data. Through household appliances sharing data in the household appliance ecosystem, 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 added 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 processing equipment, and can be a mobile phone or a computer of a user. The laundry treating apparatus may be a washing machine or a washing and drying all-in-one machine, etc. The kitchen electrical equipment can be a range hood, a dish washer, an oven, a microwave oven and the like. The control method in the embodiment of the present application is exemplified by being applied to a clothes treatment apparatus.
As an example, as shown in fig. 1, a network architecture on which a control method provided by an embodiment of the present application is based includes at least a laundry processing device and at least one kitchen electrical device. The clothes treatment equipment is connected with at least one kitchen electrical equipment through communication modes such as WiFi, ZigBee or Bluetooth, and the kitchen electrical equipment (range hood) is only schematically shown in figure 1.
As another example, as shown in fig. 2, the network architecture includes a laundry processing device, a user terminal and at least one kitchen electrical device, and the laundry processing device may be communicatively connected with the user terminal and the at least one kitchen electrical device through WiFi, ZigBee or bluetooth or other communication methods. 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. Fig. 2 also only shows schematically an electrical kitchen appliance (range hood).
As still 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, the clothes treatment device, the user terminal and the at least one kitchen electrical device are all in communication connection with the server, and two kitchen electrical devices, namely a range hood and a dishwasher, are only schematically shown in fig. 3.
Based on the network architecture shown in fig. 1-3, the present application provides a control method of a laundry treatment apparatus, which is applied to the laundry treatment apparatus, as shown in fig. 4, the method may include the following steps:
In one possible implementation, the clothes treatment device, the at least one kitchen electrical device and the server are all connected in communication. For each kitchen electrical device in the at least one kitchen electrical device, the kitchen electrical device detects user behavior data generated by a user using the kitchen electrical device, and uploads the detected user behavior data to the server. The clothes treatment equipment actively acquires user behavior data of at least one kitchen electrical 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 electrical equipment to the clothes treatment equipment.
For example, assuming that at least one kitchen electrical appliance includes a range hood and a dishwasher, 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 a server. The dishwasher detects user behavior data generated by a user using the dishwasher and uploads the corresponding user behavior data of the dishwasher 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 in direct communication with the at least one kitchen appliance, and the laundry treatment device actively obtains user behavior data from the at least one kitchen appliance when the laundry treatment device is powered on. Or, the at least one kitchen electrical appliance pushes the user behavior data to the laundry treatment appliance.
For example, the clothes treatment device or the user terminal is directly connected with the range hood and the dish washer in a communication mode, and the clothes treatment device or the user terminal acquires user behavior data generated by a user using the range hood from the range hood and acquires user behavior data generated by the user using the dish washer from the dish washer.
In another possible implementation, the laundry treatment device 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 the user behavior data of the at least one kitchen electrical device from the user terminal.
In each of the above implementations, the user behavior data corresponding to the kitchen electrical appliance is data detected by the kitchen electrical appliance through various sensors or other detection devices. For the range hood, the corresponding user behavior data is the user behavior data generated by using the range hood in the cooking process of the user, and can include the type of oil smoke, the concentration of oil smoke particles, the temperature of cooking kitchenware and the like. The range hood can detect the type of oil smoke used by a user in cooking through an oil smoke sensor and/or a smell sensor, and detect the concentration of oil smoke particles in the air, wherein the type of the oil smoke can comprise peanut oil, rapeseed oil, animal oil and the like. The range hood can detect the temperature of the cooking utensil through the infrared sensor.
The user behavior data corresponding to the dishwasher is behavior data of user eating detected by the dishwasher in the process of using the dishwasher to wash tableware by the user, and 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 stains possibly formed on clothes according to the detected PH value and the pH values of various foods. Wherein the food type can comprise any food such as vinegar, carrot, orange juice and the like, and the stain type can comprise vinegar, carrot juice, orange juice, oil stain and the like.
The laundry treating apparatus has a plurality of washing processes such as a micro-steam sterilizing washing, a mite removing washing, a cold water washing, a quick washing, an inner wear washing, a mixing washing, etc. Each time a user needs to use the laundry treating apparatus for washing, the laundry treating apparatus displays a plurality of washing courses, the user selects one washing course from the displayed plurality of washing courses, and the laundry treating apparatus executes the washing course selected by the user.
After obtaining the user behavior data of the at least one kitchen appliance through step 101, the laundry treating apparatus may adjust the recommended sequence of each washing course according to the obtained user behavior data, thereby arranging the washing course more suitable for the load to be washed in front, and increasing the probability that the user selects the more suitable washing course.
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 electrical equipment.
For convenience of description, any one washing course of the laundry treating apparatus is referred to as a first washing course in 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 electrical equipment. Specifically, for any one of the kitchen electrical appliances, the embodiment of the application is referred to as a first kitchen electrical appliance. 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 electrical equipment. And determining a recommendation coefficient corresponding to the first washing program according to the determined stain type and the pollution degree.
According to the embodiment of the application, a first mapping relation of different user behavior data, stain types and pollution degrees and a second mapping relation of the stain types, the pollution degrees and recommendation coefficients of all washing programs are configured in advance in the clothes treatment equipment. The clothes treatment equipment 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 equipment and a first mapping relation configured in advance. And then determining a recommendation coefficient corresponding to the first washing program by combining a second mapping relation configured in advance according to the determined stain type and the pollution degree.
Wherein, the type of the heavy stain is different for different washing programs, and the washing program can wash the type of the heavy stain more cleanly. The higher the degree of soiling for the same stain type, the greater the recommended factor for a washing program that emphasizes that stain type.
If the first kitchen electrical equipment is a range hood, the user behavior data corresponding to the range hood comprises the oil smoke type, the oil smoke particle concentration, the temperature of the cooking kitchenware and the like. The first mapping relation preset in the clothes treatment equipment comprises the corresponding relation between the oil smoke type, the oil smoke particle concentration interval, the temperature interval of the cooking interval, 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 oil smoke particle concentration to which the oil smoke particle concentration included in the user behavior data belongs is determined, and the temperature range to which the temperature of the cooking utensil included in the user behavior data belongs is determined. And then acquiring the corresponding stain type and the 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 a corresponding recommendation coefficient from the second mapping relation according to the acquired stain type and the pollution degree.
If the first kitchen electrical equipment is a dishwasher, the user behavior data corresponding to the dishwasher includes food types, stain types and the like. The first mapping relation pre-configured in the clothes treatment equipment comprises the corresponding relation of the food type, the stain type and the pollution degree. After the clothes treatment equipment obtains the user behavior data of the dish washer, the corresponding stain type and the pollution degree are obtained from the first mapping relation according to the food type and the stain type included in the user behavior data. And acquiring a corresponding recommendation coefficient from the second mapping relation according to the acquired stain type and the pollution degree.
For each of the other kitchen electrical appliances in the at least one kitchen electrical appliance, the clothes treatment device respectively determines the recommendation coefficient corresponding to the first washing program according to the user behavior data of each of the other kitchen electrical appliances in the manner described above.
Thus, a plurality of recommendation coefficients corresponding to the first washing program are obtained, and then the recommendation weight of the first washing program is calculated according to each recommendation coefficient corresponding to the first washing program.
In one possible implementation, each recommendation coefficient corresponding to the first washing procedure may be summed, and the calculated sum value may be used as a recommendation weight of the first washing procedure. In another possible implementation manner, an average value of each recommendation coefficient corresponding to the first washing program may be calculated, and the average value may be used as the recommendation weight of the first washing program.
For each of the other washing programs of the laundry treatment apparatus, the recommended weight for each of the other washing programs is determined in a manner similar to the determination of the recommended weight for the first washing program.
After the recommended weight of each washing program of the clothes treatment equipment is determined in the above mode, each washing program is sequenced from high to low according to the recommended weight. Then, each of the sorted washing courses is displayed, and the user can select a target washing course from the displayed plurality of washing courses.
And determining the corresponding stain type and the pollution degree according to the user behavior data generated by the user using the kitchen electrical equipment. And assigning a recommended weight to each washing program according to the determined stain type and the pollution degree, and recommending each washing program according to the recommended weight from high to low. Thus, the household appliance ecosystem is formed by the kitchen electrical equipment, the clothes treatment equipment and the like, user behavior data generated by the kitchen electrical equipment used by a user are shared between the kitchen electrical equipment and the clothes treatment equipment, the stain type and the pollution degree of a load to be washed are presumed according to the user behavior data, and 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 present application, the laundry treating apparatus may be the laundry treating apparatus itself and/or a user terminal.
The recommended weight of each washing program and/or each washing program sorted according to the recommended weight can be shared between the clothes treatment device and the user terminal. That is, after the laundry treating apparatus determines the recommended weight for each washing course, the recommended weight for each washing course may be retransmitted to the user terminal. After receiving the recommended weight of each washing program sent by the clothes treatment equipment, the user terminal can sort and display each washing program according to the recommended weight. The laundry processing apparatus may also sort the washing programs according to the recommended weights of the washing programs, and then transmit the identification information of the sorted washing programs to the user terminal. And after receiving the identification information after the sequenced washing programs, the user terminal displays the sequenced washing programs. The identification information of the washing program may be a name or number of the washing program, etc.
The recommended weight for each washing course may also be determined by the user terminal and then transmitted to the laundry treating apparatus. Or after the user terminal sorts the washing programs according to the recommended weights of the washing programs, the sorted identification information of the washing programs is sent to the clothes processing equipment.
In another implementation manner, the clothes treatment device and the user terminal may determine the recommended weight of each washing program according to the manner of the embodiment of the present application, and display the washing programs after sorting according to the recommended weight.
After the clothes treating apparatus and/or the user terminal displays the sorted plurality of washing courses, the user may select one washing course from the plurality of washing courses as the target washing course. After the clothes treatment device or the user terminal determines the target washing program selected by the user, the target washing program can be directly executed to wash the load. Because the plurality of displayed washing programs are arranged in the order of the recommended weight from high to low, the probability that the user selects the washing program arranged in the front is high, the selected target washing program is more suitable for the stain types possibly existing in the load to be washed, and a good decontamination washing effect can be realized.
In other embodiments, after the laundry processing device or the user terminal determines the target washing program selected by the user, the washing parameters 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 duration, usage amount of detergent, and the like.
Specifically, the clothes treatment equipment or the user terminal determines 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 electrical equipment. The specific determination process is the same as the above process for determining the stain type and the pollution degree according to the user behavior data of the kitchen electrical equipment, and is not described herein again. And adjusting washing parameters corresponding to the target washing program according to the determined stain type and the determined pollution degree.
According to the embodiment of the application, the third mapping relation of the stain type, the pollution degree and the adjustment proportion of each washing parameter can be configured in the clothes treatment equipment in advance. After the clothes processing equipment determines the stain type and the pollution degree, the adjustment proportion corresponding to each washing parameter or each washing parameter in the third mapping relation is obtained, then the current value of each washing parameter in the target washing program is obtained, the correction value of the washing parameter is calculated according to the current value of the washing parameter and the adjustment proportion corresponding to the washing parameter, and the current value of the washing parameter in the target washing program is modified into the correction value.
For example, assume that the determined stain type is "greasy dirt", and the degree of contamination is 5 (the value range of the degree of contamination may be 1-10, with larger values for higher degrees of contamination). It is assumed that the adjustment ratio of the temperature parameter of the target washing program is determined to be 2 from the third mapping relationship according to the stain type "greasy dirt" and the degree of contamination 5. 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 is modified to be 40 ℃ to be 80 ℃.
According to the mode, the stain type and the pollution degree are determined according to the user behavior data of the kitchen electrical 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 treatment apparatus may further adjust washing parameters of each washing program of the laundry treatment apparatus according to the user behavior data of the kitchen appliance. The adjusting process is the same as the above-mentioned process for adjusting the washing parameters of the target washing program, and is not described herein again.
If the user terminal adjusts the washing parameters of the washing program, the user terminal also sends the adjusted washing parameters of the washing program to the clothes treatment equipment. 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 by the embodiment of the present application, the following description will be given by taking an example in which the kitchen electrical appliance includes a range hood and a dishwasher, and the laundry treatment appliance is a washing machine, 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 obtains the user behavior data of the range hood and the user behavior data of the dish washing machine from the server. S4: the washing machine and/or the user terminal respectively determine the recommended weight of each washing program of the clothes treatment equipment according to the user behavior data of the range hood and the user behavior data of the dish washing machine. S5: and the washing machine and/or the user terminal sorts each washing program according to the recommended weight from high to low, and displays each sorted washing program.
In the embodiment of the application, the clothes treatment equipment can acquire the user behavior data detected by the kitchen electrical equipment, and adjust the washing program of the clothes treatment equipment according to the user behavior data. Through household appliances sharing data in the household appliance ecosystem, 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. Furthermore, 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 electrical equipment, the recommended weight of each washing program is further determined, each washing program is sequenced according to the recommended weights, the washing programs which are sequenced more forwards are 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, and the system is used for executing the control method of the clothes treatment device provided by any one of the embodiments. As shown in fig. 1-3, the system includes: a laundry treatment appliance and at least one kitchen appliance; the laundry treating apparatus may include the laundry treating apparatus itself and/or a user terminal.
At least one kitchen appliance for detecting user activity data;
the clothes processing equipment is used for acquiring user behavior data detected by at least one kitchen electrical equipment; and adjusting the washing program of the clothes treatment equipment according to the user behavior data corresponding to the at least one kitchen electrical equipment.
The control system of the clothes treatment device provided by the above embodiment of the present application and the control method of the clothes treatment device provided by the embodiment of the present application have the same beneficial effects as the method adopted, operated or realized by the stored application program.
An embodiment of the present application provides a control device of a clothes treatment apparatus, configured to execute the control method of the clothes treatment apparatus provided in any one of the above embodiments, as shown in fig. 6, the device includes:
an obtaining module 201, configured to obtain 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 appliance.
The adjusting module 202 is configured to adjust a recommended sequence of a plurality of washing programs of the laundry processing device according to user behavior data corresponding to at least one kitchen appliance.
The adjusting module 202 is configured to determine a recommended weight of each washing program of the laundry processing device according to user behavior data corresponding to at least one kitchen appliance; each washing program is sorted in the order of the recommended weight from high to low.
The adjusting module 202 is configured to determine a recommended coefficient corresponding to a first washing program according to user behavior data corresponding to each kitchen appliance, where the first washing program is any one of washing programs of the laundry processing apparatus; 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 degree corresponding to a load to be washed according to user behavior data corresponding to the first kitchen electrical equipment; the first kitchen electric equipment is any one of the kitchen electric equipment; and determining a recommended coefficient corresponding to the first washing program according to the stain type and the pollution degree.
The device also includes: the display module is used for displaying each sorted washing program;
and the program execution module is used for determining the target washing program selected by the user from each sorted washing program and executing the target washing program.
The adjusting module 202 is further configured to adjust a washing parameter corresponding to the target washing program according to the user behavior data corresponding to the at least one kitchen electrical device.
The adjusting module 202 is further configured to determine a stain type and a pollution degree corresponding to a load to be washed according to user behavior data corresponding to at least one kitchen electrical device; and adjusting 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 respectively adjust washing parameters corresponding to each washing program of the laundry processing device according to user behavior data corresponding to at least one kitchen appliance.
An obtaining module 201, configured to obtain, from a server, user behavior data detected by at least one kitchen electrical device; or, the user behavior data detected by the at least one kitchen electrical device is obtained from the at least one kitchen electrical device.
The control device of the clothes treatment equipment provided by the above embodiment of the present application and the control method of the clothes treatment equipment provided by the embodiment of the present application have the same beneficial effects as the method adopted, operated or realized by the stored application program.
The embodiment of the application also provides electronic equipment to execute the control method of the clothes treatment equipment. The electronic device is a laundry treating device, including the laundry treating device itself and/or a user terminal. The electronic device includes: the system 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 operable on the processor, and the processor executes the control method of the clothes treatment apparatus provided in any one of the foregoing embodiments when the computer program is executed.
The Memory may include a high-speed Random Access Memory (RAM) and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network and the like can be used.
The bus may be an ISA bus, PCI bus, EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. The storage is used for storing a program, and the processor executes the program after receiving an execution instruction, and the control method of the laundry treatment apparatus disclosed in any of the foregoing embodiments of the present application can be applied to 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 instructions in the form of software. The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. The various methods, steps, and logic blocks disclosed 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 the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.
The clothes treatment equipment provided by the embodiment of the application and the control method of the clothes treatment equipment provided by the embodiment of the application have the same beneficial effects as the adopted, operated or realized method.
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 on the optical disc, and when the computer program is executed by a processor, the computer program will execute 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, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory, or other optical and magnetic storage media, which are not described in detail herein.
The computer-readable storage medium provided by the above-mentioned embodiments of the present application has the same beneficial effects as the method adopted, operated or implemented by the application program stored in the computer-readable storage medium, based on the same inventive concept as the control method of the clothes treatment device 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 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 interpreted to reflect the following schematic: this application is intended to cover such departures from the present disclosure as come within known or customary practice in the art to which this invention pertains. 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 included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the application and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The above description is only for the preferred embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within 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 (14)
1. A control method of a laundry treating apparatus, comprising:
acquiring user behavior data detected by at least one kitchen electrical equipment;
and adjusting the washing program of the clothes treatment equipment according to the user behavior data corresponding to the at least one kitchen electrical equipment.
2. The method of claim 1, wherein the adjusting the washing program of the laundry treatment device according to the user behavior data corresponding to the at least one kitchen appliance comprises:
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 electrical equipment.
3. The method of claim 2, wherein the adjusting the recommended sequence of the plurality of washing programs of the laundry treatment device according to the user behavior data corresponding to the at least one kitchen appliance comprises:
respectively determining the recommended weight of each washing program of the clothes treatment equipment according to the user behavior data corresponding to the at least one kitchen electrical equipment;
and sequencing each washing program according to the recommended weight from high to low.
4. The method of claim 3, wherein the determining the recommended weight of each washing program of the clothes treatment device according to the user behavior data corresponding to the at least one kitchen electrical appliance comprises:
determining a recommendation coefficient corresponding to a first washing program according to user behavior data corresponding to each kitchen electrical equipment, wherein the first washing program is any one washing program of the clothes processing equipment;
and calculating the recommendation weight of the first washing program according to each recommendation coefficient corresponding to the first washing program.
5. The method of claim 4, wherein determining the recommended coefficient corresponding to the first washing program according to the user behavior data corresponding to each kitchen electrical 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 first kitchen electrical equipment; the first kitchen electrical equipment is any one of the kitchen electrical equipment;
and determining a recommended coefficient corresponding to the first washing program according to the stain type and the pollution degree.
6. The method of claim 3, wherein after sorting the washing programs in order of recommended weight from high to low, further comprising:
displaying the sorted each washing program;
and determining a target washing program selected by a user from the sorted washing programs, and executing the target washing program.
7. The method of claim 6, wherein before the performing the target washing 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 electrical equipment.
8. The method of claim 7, wherein the adjusting the washing parameters corresponding to the target washing program according to the user behavior data corresponding to the at least one kitchen electrical 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 electrical device;
and adjusting washing parameters corresponding to the target washing program according to the stain type and the pollution degree.
9. The method of claim 1, wherein the adjusting the washing program of the laundry treatment device according to the user behavior data corresponding to the at least one kitchen appliance comprises:
and respectively adjusting washing parameters corresponding to each washing program of the clothes processing equipment according to the user behavior data corresponding to the at least one kitchen electrical equipment.
10. The method of any one of claims 1-9, wherein the obtaining of user behavior data detected by at least one kitchen appliance comprises:
acquiring user behavior data detected by at least one kitchen electrical equipment from a server; alternatively, the first and second electrodes may be,
user behavior data detected by at least one kitchen electrical device is obtained from the at least one kitchen electrical device.
11. A control system of a laundry treating apparatus, comprising: a laundry treatment appliance 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 electrical equipment; and adjusting the washing program of the clothes treatment equipment according to the user behavior data corresponding to the at least one kitchen electrical equipment.
12. A control device of a laundry treating apparatus, comprising:
the acquisition module is used for acquiring user behavior data detected by at least one kitchen electrical equipment;
and the adjusting module is used for adjusting the washing program of the clothes processing equipment according to the user behavior data corresponding to the at least one kitchen electrical equipment.
13. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the method of any one of claims 1-10.
14. A computer-readable storage medium, on which a computer program is stored, characterized in that the program is executed by a processor to implement the method according to any of claims 1-10.
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| CN114960111A (en) * | 2022-06-28 | 2022-08-30 | 海信冰箱有限公司 | Method and device for determining washing program |
| CN114575101B (en) * | 2022-02-23 | 2024-05-17 | 合肥美的洗衣机有限公司 | Laundry treating apparatus, control method and device thereof, and storage medium |
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