WO2020164424A1 - 家电的控制方法 - Google Patents
家电的控制方法 Download PDFInfo
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- WO2020164424A1 WO2020164424A1 PCT/CN2020/074350 CN2020074350W WO2020164424A1 WO 2020164424 A1 WO2020164424 A1 WO 2020164424A1 CN 2020074350 W CN2020074350 W CN 2020074350W WO 2020164424 A1 WO2020164424 A1 WO 2020164424A1
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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
-
- 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
-
- 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
- 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
- D06F33/38—Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry of rinsing
-
- 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
- D06F33/40—Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry of centrifugal separation of water from the laundry
-
- 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
- D06F33/44—Control of the operating time, e.g. reduction of overall operating time
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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
- D06F33/50—Control of washer-dryers characterised by the purpose or target of the control
- D06F33/70—Control of the operating time, e.g. reduction of overall operating time
Definitions
- the invention belongs to the technical field of home appliances, and specifically relates to a control method of home appliances.
- Smart home appliances can set up their own work programs according to actual work scenarios, so as to meet the comfort and efficiency requirements of users for the living environment through autonomous and efficient work methods.
- smart home appliances can independently recommend users to use multiple working modes, it is difficult for users to ensure that their use requirements are exactly the same each time, so the recommended working modes of smart home appliances are difficult to achieve the user's expected work effect.
- the present invention provides a control method that includes: acquiring current time information; The historical parameter corresponding to the current time information; the current parameter is determined according to the historical parameter; the running program is generated according to the current parameter.
- the step of "obtaining current time information” includes: obtaining time period information corresponding to the current time; and the step of "obtaining historical parameters corresponding to the current time information” includes: obtaining the same Non-seasonal historical parameters in all time periods of the time period information; the step of "determining current parameters according to the historical parameters” includes: determining non-seasonal current parameters according to the non-seasonal historical parameters; "according to the current parameters.
- the step of "generating an operating program” includes: generating an operating program according to the non-seasonal current parameters.
- the step of "determining non-seasonal current parameters based on the non-seasonal historical parameters" includes: acquiring the non-seasonal historical parameters with the highest frequency of use in each time period; All non-seasonal historical parameters with the highest frequency of use are used to determine the non-seasonal current parameters.
- the step of "determining the current non-seasonal parameters based on all the acquired non-seasonal historical parameters with the highest frequency of use” includes: judging all the non-seasonal historical parameters with the highest frequency of use Whether there are repeated non-seasonal historical parameters; if there are repeated non-seasonal historical parameters, get the number of repetitions of each repeated non-seasonal historical parameter; select the non-seasonal historical parameter with the most repeated times and set it Non-seasonal current parameters; if there are no repeated non-seasonal historical parameters, select the time period closest to the current time from all the time periods that have been obtained, and use the most frequently used non-seasonal history in this time period The parameter is set to the current parameter of the non-seasonal category.
- the home appliance is a washing device
- the non-seasonal historical parameter/the non-seasonal current parameter includes detergent softener parameters, jitter parameters, buzzer parameters, and vibration parameters , At least one of the pollution degree parameters.
- the step of "obtaining current time information” includes: obtaining seasonal information corresponding to the current time; and the step of obtaining historical parameters corresponding to the current time information” includes: obtaining the same seasonal information Seasonal historical parameters in all quarters; the steps of "determining current parameters according to the historical parameters” include: determining the current seasonal parameters according to the seasonal historical parameters; the steps of "generating an operating program according to the current parameters” include: The current parameters of the season category generate the running program.
- the step of "determining current seasonal parameters based on seasonal historical parameters" includes: obtaining the seasonal historical parameters with the highest frequency of use in each quarter; according to all the acquired seasonal historical parameters with the highest frequency of use Type history parameters, determine the current parameters of the season type.
- the step of "determining the current seasonal parameters based on all acquired historical parameters of the seasons with the highest frequency of use” includes: judging whether there is any duplication in all historical parameters of the seasons with the highest frequency of use If there are repeated seasonal historical parameters, get the repetition times of each repeated seasonal historical parameter; select the seasonal historical parameter with the most repeated times and set it as the current seasonal parameter; if If there is no repeated seasonal historical parameter, the quarter closest to the current quarter is selected from all the obtained quarters, and the seasonal historical parameter with the highest frequency in the quarter is set as the seasonal current parameter.
- the home appliance is a washing device
- the seasonal historical parameters/the seasonal current parameters include clothes material, clothes type parameters, washing time, rinsing times, dehydration speed, dehydration time, At least one of the drying duration parameters.
- the step of "obtaining current time information” includes: obtaining time period information corresponding to the current time; obtaining season information corresponding to the current time; "obtaining information corresponding to the current time.
- the steps of "historical parameters” include: obtaining non-seasonal historical parameters in all time periods of the same time period information; obtaining seasonal historical parameters in all quarters of the same seasonal information; and "determining current parameters based on the historical parameters”
- the steps include: determining the current non-seasonal parameters according to the non-seasonal historical parameters; determining the current seasonal parameters according to the seasonal historical parameters; the step of "generating the operating program according to the current parameters” includes: according to the current seasonal parameters and the current parameters The non-seasonal current parameter generation operation program.
- the step of "determining non-seasonal current parameters based on the non-seasonal historical parameters” includes: acquiring the non-seasonal historical parameters with the highest frequency of use in each time period; For all non-seasonal historical parameters with the highest frequency of use, determine the non-seasonal current parameters; the step of "determining seasonal current parameters based on seasonal historical parameters” includes: obtaining the seasonal historical parameters with the highest frequency of use in each quarter ; Determine the current seasonal parameters according to all acquired historical parameters of the seasons with the highest frequency of use.
- the step of "determining the current non-seasonal parameters based on all the acquired non-seasonal historical parameters with the highest frequency of use” includes: judging all the non-seasonal historical parameters with the highest frequency of use Whether there are repeated non-seasonal historical parameters; if there are repeated non-seasonal historical parameters, get the number of repetitions of each repeated non-seasonal historical parameter; select the non-seasonal historical parameter with the most repeated times and set it Non-seasonal current parameters; if there are no repeated non-seasonal historical parameters, select the time period closest to the current time from all the time periods that have been obtained, and use the most frequently used non-seasonal history in this time period
- the parameters are set as non-seasonal current parameters;
- the step of "determining the seasonal current parameters according to all the acquired historical parameters of the seasons with the highest frequency of use” includes: judging whether there are any repetitions in all historical parameters of the seasons with the highest frequency of use Seasonal historical parameters; if there are repeated seasonal historical parameters, get the number of repetitions of each repeated seasonal
- the method for controlling household appliances of the present invention includes: acquiring current time information; acquiring historical parameters corresponding to the current time information; determining current parameters based on historical parameters; and generating operating programs based on current parameters.
- the home appliance can combine the current time information with the historical parameters so as to lock the working parameters in the historical running program that best meets the current running requirements, so that the home appliance can generate the running program that meets the user's expectations without user settings. That is to say, the above control method can limit the historical parameters of the household appliances by the time information when the household appliances are started, so that the historical parameters that meet the current operating requirements are filtered out and set as the current new parameters, thereby forming a new operating program and recommending it to user.
- the operating program generated by setting each operating parameter as the basic unit is obviously closer to the user’s multiple actual use needs, reducing the number of home appliances.
- the preset duration of the program speeds up the overall working process of home appliances, and home appliances have high working efficiency.
- the steps for the user to set multiple parameters of the home appliance are omitted, the operation is convenient, and the user experience is good.
- the corresponding non-seasonal historical parameters are obtained by obtaining the time period information corresponding to the current time, so as to determine the non-seasonal current parameters according to the obtained non-seasonal historical parameters to generate the operating program.
- home appliances can specifically set non-seasonal parameters in combination with different operating timings, and further refine the judgment results of operating requirements according to the operating time conditions, thereby increasing the accuracy of users’ demand for use, thereby increasing The reasonable degree of parameter setting.
- the non-seasonal parameters of the washing machine may include at least silent washing parameters; or, when the time period information is reflected in noon, the non-seasonal parameters of the air conditioner may include at least suitable temperature and humidity for a nap. parameter.
- the non-seasonal current parameters are determined by obtaining the non-seasonal historical parameters that are most frequently used in each time period.
- the historical parameters are further filtered in combination with the user's usage habits, and the selection range of parameters is narrowed according to the user's preferences, so that the final parameters can more satisfy the user's use of the appliance. habit.
- the parameter with the most repeated occurrences is set as the final parameter (that is, the non-seasonal current parameter), otherwise the most frequent parameter is set.
- the parameters close to the current time are set as the final parameters, so that when it is difficult to determine the final parameters with the frequency of use, the final parameters can be determined by the user's recent usage habits, so that the determined final parameters can fit the user's habitual usage habits or the latest Using habits, the operating program generated by the above control method can not only conform to users with relatively fixed household appliance habits, but also be suitable for users with relatively flexible household appliance habits.
- the corresponding seasonal historical parameters are obtained by obtaining seasonal information corresponding to the current time, so as to determine the current seasonal parameters according to the obtained seasonal historical parameters to generate an operating program.
- the household appliance can specifically set seasonal parameters in combination with the current operating season, further refine the judgment result of the operating demand according to the current operating season, and increase the reasonable degree of parameter setting.
- the seasonal parameters of the washing machine may include at least knitted laundry washing parameters; or, when the time period information is reflected in summer, the seasonal parameters of the washing machine may include at least chiffon/silk Laundry parameters.
- the seasonal historical parameters are screened in combination with the user's habitual use habits and/or latest use habits, and the selection range of the parameters is narrowed according to the user's preferences and habits, so that the finally determined seasonal parameters can more satisfy the user's use of the appliance habit.
- the corresponding non-seasonal historical parameters are obtained by obtaining the time period information corresponding to the current time, and the non-seasonal current parameters are determined according to the user's usage habits.
- the corresponding seasonal historical parameters are obtained by obtaining the seasonal information corresponding to the current time, and the current seasonal parameters are determined according to the user's usage habits.
- Solution 1 A control method for home appliances, characterized in that the control method includes: acquiring current time information; acquiring historical parameters corresponding to the current time information; determining current parameters according to the historical parameters; Parameter generation running program.
- Scheme 2 The control method according to scheme 1, characterized in that the step of "acquiring current time information” includes: obtaining time period information corresponding to the current time; "obtaining historical parameters corresponding to the current time information”
- the steps include: acquiring the non-seasonal historical parameters in all time periods of the same time period information; the step of "determining the current parameters according to the historical parameters” includes: determining the non-seasonal current parameters according to the non-seasonal historical parameters Parameters; the step of "generating an operating program based on current parameters” includes: generating an operating program based on the non-seasonal current parameters.
- Scheme 3 The control method according to scheme 2, characterized in that, the step of "determining non-seasonal current parameters according to the non-seasonal historical parameters" includes: obtaining the non-seasonal types with the highest frequency of use in each time period Historical parameters; determine the current non-seasonal parameters according to all the acquired non-seasonal historical parameters with the highest frequency of use.
- Scheme 4 The control method according to scheme 3, characterized in that the step of "determining the non-seasonal current parameters according to all the acquired non-seasonal historical parameters with the highest frequency of use" includes: judging all the most frequently used non-seasonal historical parameters. Whether there are repeated non-seasonal historical parameters in the non-seasonal historical parameters; if there are repeated non-seasonal historical parameters, get the number of repetitions of each repeated non-seasonal historical parameter; select the non-seasonal history with the most repeated times Parameter and set it as the current non-seasonal parameter; if there is no repeated non-seasonal historical parameter, select the time period closest to the current time from all the time periods that have been obtained, and use the frequency in this time period The highest non-seasonal historical parameter is set as the non-seasonal current parameter.
- Solution 5 The control method according to solution 2, characterized in that the home appliance is a washing device, and the non-seasonal historical parameters/the non-seasonal current parameters include detergent softener parameters, jitter parameters, and At least one of the beep parameter, vibration parameter, and pollution degree parameter.
- Scheme 6 The control method according to scheme 1, characterized in that the step of "acquiring current time information" includes: obtaining seasonal information corresponding to the current time; obtaining historical parameters corresponding to the current time information" Including: acquiring historical parameters of seasons in all quarters of the same season information; "determining current parameters based on the historical parameters” includes: determining current parameters of seasons based on historical parameters of seasons; "generating operating programs based on current parameters The steps include: generating an operating program according to the current parameters of the season.
- Scheme 7 The control method according to scheme 6, characterized in that the step of "determining seasonal current parameters according to seasonal historical parameters" includes: obtaining the seasonal historical parameters with the highest frequency of use in each quarter; All historical parameters of the seasons with the highest frequency of use are used to determine the current parameters of the seasons.
- Scheme 8 The control method according to scheme 7, characterized in that the step of "determining the current parameters of the season based on all acquired historical parameters of the seasons with the highest frequency of use" includes: judging all the seasons with the highest frequency of use Whether there are repeated seasonal historical parameters in the historical parameters; if there are repeated seasonal historical parameters, obtain the repetition times of each repeated seasonal historical parameter; select the seasonal historical parameters with the most repeated times and set it as Seasonal current parameters; if there are no repeated seasonal historical parameters, select the quarter closest to the current quarter from all the obtained quarters, and set the seasonal historical parameters with the highest frequency of use in this quarter as the seasonal current parameters .
- Solution 9 The control method according to solution 6, characterized in that the home appliance is a washing device, and the seasonal historical parameters/the seasonal current parameters include clothes material, clothes type parameters, washing time length, rinse times, At least one of the parameters of dehydration speed, dehydration duration, and drying duration.
- Scheme 10 The control method according to scheme 1, characterized in that the step of "obtaining current time information” includes: obtaining time period information corresponding to the current time; obtaining seasonal information corresponding to the current time;
- the steps of "historical parameters corresponding to current time information” include: obtaining non-seasonal historical parameters in all time periods of the same time period information; obtaining seasonal historical parameters in all quarters of the same seasonal information; "according to the historical parameters
- the step of "determining current parameters” includes: determining non-seasonal current parameters based on non-seasonal historical parameters; determining seasonal current parameters based on seasonal historical parameters; and the step of "generating operating programs based on current parameters” includes: An operating program is generated for the current parameters of the seasonal category and the current parameters of the non-seasonal category.
- Scheme 11 The control method according to scheme 10, characterized in that the step of "determining non-seasonal current parameters according to the non-seasonal historical parameters" includes: obtaining the non-seasonal types with the highest frequency of use in each time period Historical parameters; determine the current non-seasonal parameters based on all the acquired non-seasonal historical parameters with the highest frequency of use; the steps of "determining seasonal current parameters based on seasonal historical parameters” include: obtaining the frequency of use in each quarter The highest seasonal historical parameter; the current seasonal parameter is determined according to all acquired historical parameters of the season with the highest frequency of use.
- Solution 12 The control method according to Solution 11, characterized in that the step of "determining the current non-seasonal parameters based on all the acquired non-seasonal historical parameters with the highest frequency of use” includes: judging all the most frequently used non-seasonal historical parameters. Whether there are repeated non-seasonal historical parameters in the non-seasonal historical parameters; if there are repeated non-seasonal historical parameters, get the number of repetitions of each repeated non-seasonal historical parameter; select the non-seasonal history with the most repeated times Parameter and set it as the current non-seasonal parameter; if there is no repeated non-seasonal historical parameter, select the time period closest to the current time from all the time periods that have been obtained, and use the frequency in this time period
- the highest non-seasonal historical parameter is set as the non-seasonal current parameter;
- the step of "determining the current seasonal parameter based on all the acquired historical parameters of the season with the highest frequency of use” includes: judging all the seasonal history of the highest frequency of use Whether there are repeated seasonal historical parameters in the parameters; if there are
- Figure 1 is a flow chart of the main steps of the control method of the present invention.
- Fig. 2 is a detailed step flowchart of a preferred embodiment of the control method of the present invention.
- the present invention provides a method for controlling home appliances, aiming to make the recommended program of home appliances fit the user every time the user uses the Actual demand for home appliances.
- Figure 1 is a flowchart of the main steps of the control method of the present invention.
- the method for controlling household appliances of the present invention includes:
- Step S1 Obtain current time information
- Step S2 Obtain historical parameters corresponding to the current time information
- Step S3 Determine current parameters according to historical parameters
- Step S4 Generate a running program according to the current parameters.
- the "current time information" is the specific time information when the user turns on the washing device and prepares to run the washing device. For example, when the washing device is awakened by the user to prepare for operation, the time information immediately obtained by the washing device is the current time information. Further, the timing of obtaining current time information is not fixed.
- the execution timing of the time information acquisition step may be after the user actively issues the acquisition instruction, such as after the washing device detects the user's voice acquisition instruction or program acquisition instruction, or the washing device actively initiates the acquisition step, for example, the washing device After being awakened, the acquisition step is executed after a preset time, or the washing device executes the acquisition step after being awakened and detecting that the user stays in the washing device for a preset time.
- the parameters of the washing equipment include non-seasonal parameters that are not affected by the season and seasonal parameters that vary with the season.
- the above "setting current parameters" can be setting non-seasonal parameters, or setting seasonal parameters.
- setting current parameters refers to setting non-seasonal parameters of the washing equipment, specifically,
- step S1 includes:
- step S2 includes:
- the above step S3 includes:
- the above step S4 includes:
- the running program is generated according to the current parameters of the non-seasonal category.
- the "time period information" refers to the specific time period in which the current time acquired by the washing device is located.
- the time range of the above time period is not limited.
- the time range can be divided into days.
- the above time period is a certain time period of every day, or it can be divided by weeks.
- the above time period is a certain time of each week.
- the time period can also be divided into months.
- the time period mentioned above is a certain time period of each month.
- the division starts from 24:00, and every two hours is a time period, then the current time is 8:15, and the time period information corresponding to the current time is 8:00 every day -10:00;
- the time period information corresponding to the current time is 8:00-10:00 of each week X; when only changing the above time range to one month
- the time period information corresponding to the current time is 8:00-10:00 on the X day of each month.
- the above-mentioned time period division, starting point time, time range and other factors can be set according to the actual use needs of users. For example, considering the number of parameters that can be obtained in each time period, the division time of the time period can be extended. Or you can set a variety of different acquisition methods according to different factors such as time range. The user can select the desired acquisition method before the washing machine starts to perform the acquisition steps of the current time.
- the non-seasonal historical parameters in all time periods of the same time period information are obtained. For example, when the time period information is determined to be from 8:00 to 10:00 every day, the time period information is obtained All non-seasonal historical parameters in the time period from 8:00 to 10:00 every day, in order to filter out the non-seasonal historical parameters in the non-8:00 to 10:00 time period, and narrow the filtering scope of non-seasonal historical parameters. Then, an operating parameter is determined from the filtered non-seasonal historical parameters, and the operating parameter is set as a non-seasonal current parameter, so as to generate an operating program of the washing device according to the set non-seasonal current parameter.
- the time range of a cycle can be set according to the user's habit update needs, such as one year, six months, etc.
- steps of "determining non-seasonal current parameters based on non-seasonal historical parameters” include:
- the non-seasonal historical parameters obtained through the frequency of use are filtered again, and at least one non-seasonal historical parameter with the highest frequency of use is selected in each time period (for example, two different parameters in the same time period) When the frequency of use is the same and the highest, these two parameters can be obtained at the same time), so as to further narrow the selection range of non-seasonal current parameters based on the user's parameter usage habits as the filter condition.
- steps of "determining current non-seasonal parameters based on all the acquired non-seasonal historical parameters with the highest frequency of use" include:
- non-seasonal historical parameters select the time period closest to the current time from all the time periods that have been obtained, and set the non-seasonal historical parameter most frequently used in this time period as non-seasonal current parameter.
- the historical parameter of the current parameter is the parameter that the user uses repeatedly for a long time, so that the running program generated according to the key parameter can be close to the user's use demand to the greatest extent and conform to the user's use habits.
- the division time is two hours
- the division start time is 24:00
- the cycle is one month
- the current time is 8:15 on X day
- the current month At least one non-seasonal historical parameter can be selected from 8:00 to 10:00 on each day before X day, and now only one parameter with the highest frequency of use can be selected every day as an example.
- Use parameter 1 to parameter (X-1) to name the non-seasonal historical parameters filtered out in this time period every day. After obtaining the use frequency of parameter 1 to parameter (X-1), if at least some of the parameters from parameter 1 to parameter (X-1) are the same parameter, the parameter with the highest number of repetitions is selected as the non-seasonal current parameter.
- parameter (X-1) is selected as the non-seasonal current parameter.
- parameter 1 to parameter (X-1) can be parameters of the same type or different types of parameters. If the recommended accuracy of the operating program needs to be expanded, the filterable range of parameters can be appropriately expanded, such as extending the period and extending the division time.
- non-seasonal parameters when the washing equipment actually performs the above steps, there may be multiple non-seasonal current parameters finally obtained each time, for example, in the process of obtaining and screening non-seasonal historical parameters, there may also be multiple non-seasonal historical parameters that can be used simultaneously (that is, multiple parameters can form a reasonable operating program) and have the same number of repetitions.
- the non-seasonal parameters ie, non-seasonal historical parameters/non-seasonal current parameters
- the non-seasonal parameters include detergent softener parameters, jitter parameters, buzzer parameters, vibration parameters, dirt At least one of the degree parameters.
- the non-seasonal parameters can be adaptively changed with the type, type, model, etc. of the equipment.
- the above-mentioned "setting current parameters” is setting the seasonal parameters of the washing equipment, specifically,
- Step S1 includes:
- Step S2 includes:
- Step S3 includes:
- Step S4 includes:
- season information refers to the current season acquired by the washing device, such as spring, spring-summer alternate period, summer, summer-autumn alternate period, autumn, autumn-winter alternate period, winter, etc.
- the four seasons of spring, summer, autumn and winter can be set according to user needs, and each season can be refined to improve the accuracy of judgment of operation requirements, such as dividing spring into early spring, spring, and late spring.
- the quarter can be a normal quarter of three months or a small quarter of less than three months after the season is subdivided. .
- the seasonal historical parameters of the season are filtered out to narrow the filtering scope of the seasonal historical parameters.
- an operating parameter is determined from the filtered seasonal historical parameters, and the operating parameter is set as the current seasonal parameter, so as to generate an operating program of the washing device according to the set seasonal current parameter.
- the time range of a cycle can be set according to the age of the user's equipment, the update speed of the usage habits, and so on.
- step of "determining the current parameters of the seasons according to the historical parameters of the seasons” includes:
- steps of "determining current seasonal parameters based on all acquired historical parameters of the seasons with the highest frequency of use” include:
- At least one seasonal historical parameter can be selected in the first quarter of each winter. Now take the parameter with the highest frequency of use in the quarter of each year as an example. If the historical parameters of the season with the highest frequency of use in each quarter in the order of the year are parameter 1, parameter 2, parameter 3, then if parameter 1 If there is a recurring parameter in parameter 3, select the recurring parameter. If parameter 1, parameter 2, and parameter 3 are different, set parameter 3 of the previous year as a seasonal historical parameter.
- the data can be filtered in a small range, and the number of historical parameters can be expanded by importing the use data of the old equipment, or directly refer to the historical parameters of the previous year to set the season The current parameters of the class.
- the above-mentioned seasonal parameters include clothing material, clothing type parameters, washing duration, rinsing times, spin speed, spin duration, and drying duration At least one of the parameters.
- this type of parameters can also be adapted to increase or decrease depending on the type, type, model, etc. of the equipment.
- setting current parameters means setting the seasonal parameters and non-seasonal parameters of the washing equipment at the same time, specifically,
- Step S1 includes:
- Step S2 includes:
- Step S3 includes:
- Step S4 includes:
- the running program is generated according to the current parameters of the seasonal category and the current parameters of the non-seasonal category.
- the seasonal historical parameters are filtered through seasonal information to set seasonal current parameters
- the non-seasonal historical parameters are filtered through time period information to set non-seasonal current parameters, so that the generated operating program can be more consistent with The user’s dressing habits and clothes washing habits.
- step of "determining non-seasonal current parameters based on the non-seasonal historical parameters” includes:
- the step of "determining the current non-seasonal parameters based on all the acquired non-seasonal historical parameters with the highest frequency of use" includes:
- the steps of "determining the current seasonal parameters based on all the acquired historical parameters of the seasons with the highest frequency of use" include:
- FIG. 2 is a detailed step flowchart of a preferred embodiment of the control method of the present invention. As shown in Figure 2, the detailed steps of the preferred embodiment of the present invention are:
- Step S1001 Obtain time period information corresponding to the current time
- Step S1002 Acquire seasonal information corresponding to the current time
- Step S1003 Obtain non-seasonal historical parameters in all time periods of the same time period information
- Step S1004 Obtain seasonal historical parameters in all quarters of the same seasonal information
- Step S1005 Obtain the most frequently used non-seasonal historical parameters in each time period
- Step S1006 Obtain the seasonal historical parameters with the highest frequency of use in each quarter;
- Step S1007 Determine whether there are repeated non-seasonal historical parameters among all the most frequently used non-seasonal historical parameters. If there are repeated non-seasonal historical parameters, perform step S1008; otherwise, perform step S1010;
- Step S1008 Obtain the number of repetitions of each repeated non-seasonal history parameter
- Step S1009 Set the non-seasonal historical parameter with the most repeated times as the non-seasonal current parameter
- Step S1010 Select the time period closest to the current time from all the acquired time periods, and set the non-seasonal historical parameter with the highest frequency of use in this time period as the non-seasonal current parameter;
- Step S1011 Determine whether there are repeated seasonal historical parameters among all the seasonal historical parameters with the highest frequency of use. If there are repeated seasonal historical parameters, perform step S1012; otherwise, perform step S1014;
- Step S1012 Obtain the number of repetitions of historical parameters of each repeated season
- Step S1013 Set the historical parameter of the season with the most repeated times as the current parameter of the season;
- Step S1014 Select the quarter closest to the current quarter from all the acquired quarters, and set the seasonal historical parameter with the highest frequency of use in the quarter as the current seasonal parameter;
- Step S1015 Generate an operating program according to the set current seasonal parameters and non-seasonal current parameters.
- control method of the present invention can set the current parameters according to the current time information, historical parameters, and the frequency of use of historical parameters, so that the set current parameters can conform to the user's customary parameter setting habits or the latest parameter setting habits , which in turn enables the running program generated according to the above-mentioned current parameters to be as close to the actual use needs of the user as possible, and increases the user usage rate of the program recommended by the device, so that the device using this control method can be easy to use, easy to operate, and intelligent Advanced program advantages.
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Abstract
一种家电的控制方法，包括获取当前时间信息（S1001、S1002）；获取与当前时间信息相对应的历史参数（S1003、S1004）；根据历史参数，确定当前参数（S1005-S1014）；根据当前参数生成运行程序（S1015）。上述控制方法使得家电能够将当前时间信息与历史参数相结合以锁定运行历史中最符合当前运行需求的工作参数，以便使得家电无需用户设置即可生成满足用户使用需求的运行程序。以单个参数为基本单位设定运行程序，不仅缩减了家电的程序设置时长，加快了家电的整体工作进程，提高了家电的工作效率，还更贴近用户在不同时间下的使用需求，提升了家电推荐的运行程序的用户使用率，用户体验好，解决了现有家电推荐用户使用的运行程序难以很好地满足用户需求的问题。
Description
本发明属于家电技术领域，具体涉及一种家电的控制方法。
近年来随着网络技术和信息化水平的不断提高，智能家电的应用已经十分广泛。与传统家电相比，智能家电具备更佳的灵敏感知力、准确判断力和有效执行力。智能家电能够根据实际的工作场景自行设置工作程序，以便通过自主而高效的作业方式来满足用户对生活环境的舒适性和高效性要求。
目前，尽管智能家电能够自主推荐用户使用多种工作模式，但是由于用户每次的使用需求难以保证完全相同，因此智能家电推荐的工作模式很难达到用户预期的工作效果。以用户洗涤衣物为例，即使用户每次洗涤的衣物完全不变，但是在洗涤时间发生变化时，智能洗衣机的工作模式就需要进行相应调整，如做出静音运行模式和非静音运行模式的调整。也就是说，现有家电推荐用户使用的运行程序难以很好地满足用户需求。
相应地，本领域需要一种新的家电的控制方法来解决上述问题。
发明内容
为了解决现有技术中的上述问题，即为了解决现有家电推荐用户使用的运行程序难以很好地满足用户需求的问题，本发明提供了一种控制方法包括：获取当前时间信息；获取与所述当前时间信息相对应的历史参数；根据所述历史参数，确定当前参数；根据当前参数生成运行程序。
在上述控制方法的优选技术方案中，“获取当前时间信息”的步骤包括：获取当前时间所对应的时间段信息；“获取与所述当前时间信息相对应的历史参数”的步骤包括：获取相同时间段信息的所 有时间段内的非季节类历史参数；“根据所述历史参数，确定当前参数”的步骤包括：根据所述非季节类历史参数，确定非季节类当前参数；“根据当前参数生成运行程序”的步骤包括：根据所述非季节类当前参数生成运行程序。
在上述控制方法的优选技术方案中，“根据所述非季节类历史参数，确定非季节类当前参数”的步骤包括：获取每个时间段内使用频率最高的非季节类历史参数；根据获取的所有使用频率最高的非季节类历史参数，确定所述非季节类当前参数。
在上述控制方法的优选技术方案中，“根据获取的所有使用频率最高的非季节类历史参数，确定所述非季节类当前参数”的步骤包括：判断所有使用频率最高的非季节类历史参数中是否存在重复的非季节类历史参数；如果存在重复的非季节类历史参数，则获取每个重复的非季节类历史参数的重复次数；选取重复次数最多的非季节类历史参数，并将其设为非季节类当前参数；如果不存在重复的非季节类历史参数，则从已获取的所有时间段中选取最接近当前时间的时间段，并将该时间段内使用频率最高的非季节类历史参数设为非季节类当前参数。
在上述控制方法的优选技术方案中，所述家电为洗涤设备，所述非季节类历史参数/所述非季节类当前参数包括洗涤剂柔顺剂参数、抖散参数、蜂鸣音参数、震动参数、赃污度参数中的至少一个。
在上述控制方法的优选技术方案中，“获取当前时间信息”的步骤包括：获取当前时间所对应的季节信息；获取与所述当前时间信息相对应的历史参数”的步骤包括：获取相同季节信息的所有季度内的季节类历史参数；“根据所述历史参数，确定当前参数”的步骤包括：根据季节类历史参数，确定季节类当前参数；“根据当前参数生成运行程序”的步骤包括：根据季节类当前参数生成运行程序。
在上述控制方法的优选技术方案中，“根据季节类历史参数，确定季节类当前参数”的步骤包括：获取每个季度内使用频率最高的季节类历史参数；根据获取的所有使用频率最高的季节类历史参数，确定所述季节类当前参数。
在上述控制方法的优选技术方案中，“根据获取的所有使用频率最高的季节类历史参数，确定所述季节类当前参数”的步骤包括：判断所有使用频率最高的季节类历史参数中是否存在重复的季节类历史参数；如果存在重复的季节类历史参数，则获取每个重复的季节类历史参数的重复次数；选取重复次数最多的季节类历史参数，并将其设为季节类当前参数；如果不存在重复的季节类历史参数，则从已获取的所有季度内选取最接近当前季度的季度，并将该季度内使用频率最高的季节类历史参数设为季节类当前参数。
在上述控制方法的优选技术方案中，所述家电为洗涤设备，所述季节类历史参数/所述季节类当前参数包括衣物材质、衣物类型参数、洗涤时长、漂洗次数、脱水速度、脱水时长、烘干时长参数中的至少一个。
在上述控制方法的优选技术方案中，“获取当前时间信息”的步骤包括：获取当前时间所对应的时间段信息；获取当前时间所对应的季节信息；“获取与所述当前时间信息相对应的历史参数”的步骤包括：获取相同时间段信息的所有时间段内的非季节类历史参数；获取相同季节信息的所有季度内的季节类历史参数；“根据所述历史参数，确定当前参数”的步骤包括：根据非季节类历史参数，确定非季节类当前参数；根据季节类历史参数，确定季节类当前参数；“根据当前参数生成运行程序”的步骤包括：根据所述季节类当前参数和所述非季节类当前参数生成运行程序。
在上述控制方法的优选技术方案中，“根据所述非季节类历史参数，确定非季节类当前参数”的步骤包括：获取每个时间段内使用频率最高的非季节类历史参数；根据获取的所有使用频率最高的非季节类历史参数，确定所述非季节类当前参数；“根据季节类历史参数，确定季节类当前参数”的步骤包括：获取每个季度内使用频率最高的季节类历史参数；根据获取的所有使用频率最高的季节类历史参数，确定所述季节类当前参数。
在上述控制方法的优选技术方案中，“根据获取的所有使用频率最高的非季节类历史参数，确定所述非季节类当前参数”的步骤包括：判断所有使用频率最高的非季节类历史参数中是否存在重复的 非季节类历史参数；如果存在重复的非季节类历史参数，则获取每个重复的非季节类历史参数的重复次数；选取重复次数最多的非季节类历史参数，并将其设为非季节类当前参数；如果不存在重复的非季节类历史参数，则从已获取的所有时间段中选取最接近当前时间的时间段，并将该时间段内使用频率最高的非季节类历史参数设为非季节类当前参数；“根据获取的所有使用频率最高的季节类历史参数，确定所述季节类当前参数”的步骤包括：判断所有使用频率最高的季节类历史参数中是否存在重复的季节类历史参数；如果存在重复的季节类历史参数，则获取每个重复的季节类历史参数的重复次数；选取重复次数最多的季节类历史参数，并将其设为季节类当前参数；如果不存在重复的季节类历史参数，则从已获取的所有季度内选取最接近当前季度的季度，并将该季度内使用频率最高的季节类历史参数设为季节类当前参数。
本领域技术人员能够理解的是，本发明的家电的控制方法包括：获取当前时间信息；获取与当前时间信息相对应的历史参数；根据历史参数，确定当前参数；根据当前参数生成运行程序。通过上述控制方法，使得家电能够将当前时间信息与历史参数相结合，以便锁定历史运行程序中最符合当前运行需求的工作参数，从而使得家电无需用户设置即可生成满足用户预期的运行程序。也就是说，上述控制方法能够通过将启动家电时的时间信息限定家电的历史参数，使得符合当前运行需求的历史参数被筛选出来并被设为当前的新参数，从而组成新的运行程序推荐给用户。与现有的家电向用户推荐其本机自带的运行程序的方式相比，以每个工作参数为基本单位设定生成的运行程序显然更加贴近用户的多种实际使用需求，缩减了家电的程序预设时长，加快了家电的整体工作进程，家电的工作效率高。省略了用户设置家电的多个参数的步骤，操作便利，用户体验好。
作为一种优选的实施方式，通过获取当前时间所对应的时间段信息来获取对应的非季节类历史参数，从而根据获取的非季节类历史参数确定非季节类当前参数进而生成运行程序。通过上述步骤，使得家电能够结合不同的运行时机来具体设定非季节类参数，根据运行的时间条件进一步细化了运行需求的判断结果，从而增加了用户的使 用需求的准确判断性，进而增加了参数设定的合理程度。例如，在时间段信息体现为傍晚时，洗衣机的非季节类参数可以至少包括静音洗涤参数；或者，在时间段信息体现为中午时，空调的非季节类参数可以至少包括适宜午睡的温、湿度参数。
进一步地，通过获取每个时间段内使用频率最高的非季节类历史参数的方式来确定非季节类当前参数。在结合时间条件细化用户的实际需求的情形下，再结合用户的使用习惯对历史参数进行进一步地筛选，以用户喜好缩小参数的选择范围，使得最后确定的参数能够更加满足用户使用该家电的习惯。
更进一步地，在获取到多个高使用频率的非季节类历史参数的情形下，将其中重复出现的次数最多的参数设定为最终参数(即非季节类当前参数)，否则则将其中最接近当前时间的参数设定为最终参数，以便在难以以使用频率确定最终参数时能够通过用户近期的使用习惯来确定最终参数，从而使得确定的最终参数能够贴合用户的惯有使用习惯或者最新使用习惯，进而使得通过上述控制方法生成的运行程序不仅能够符合家电使用习惯较为固定的用户，还适用于家电使用习惯较为灵活的用户。
作为另一种优选的实施方式，通过获取当前时间所对应的季节信息来获取对应的季节类历史参数，从而根据获取的季节类历史参数确定季节类当前参数进而生成运行程序。通过上述步骤，使得家电能够结合当前运行季节来具体设定季节类参数，根据当前运行季节进一步细化了运行需求的判断结果，增加了参数设定的合理程度。例如，在时间段信息体现为秋季时，洗衣机的季节类参数可以至少包括针织类衣物洗涤参数；或者，在时间段信息体现为夏季时，洗衣机的季节类参数可以至少包括雪纺类/丝绸类衣物洗涤参数。
进一步地，结合用户的惯有使用习惯和/或最新使用习惯对季节类历史参数进行筛选，以用户的喜好、习惯缩小参数的选择范围，使得最后确定的季节类参数能够更加满足用户使用该家电的习惯。
在一种最优选的实施方式中，通过获取当前时间所对应的时间段信息来获取对应的非季节类历史参数，并根据用户的使用习惯确定非季节类当前参数。同时，通过获取当前时间所对应的季节信息来 获取对应的季节类历史参数，并根据用户的使用习惯确定季节类当前参数。最后结合确定的非季节类当前参数和季节类当前参数共同生成家电的运行程序，使得运行程序中的参数都能够符合用户的预期续期，既贴合当前的实际运行需求，又符合用户的个人习惯。
方案1：一种家电的控制方法，其特征在于，所述控制方法包括：获取当前时间信息；获取与所述当前时间信息相对应的历史参数；根据所述历史参数，确定当前参数；根据当前参数生成运行程序。
方案2：根据方案1所述的控制方法，其特征在于，“获取当前时间信息”的步骤包括：获取当前时间所对应的时间段信息；“获取与所述当前时间信息相对应的历史参数”的步骤包括：获取相同时间段信息的所有时间段内的非季节类历史参数；“根据所述历史参数，确定当前参数”的步骤包括：根据所述非季节类历史参数，确定非季节类当前参数；“根据当前参数生成运行程序”的步骤包括：根据所述非季节类当前参数生成运行程序。
方案3：根据方案2所述的控制方法，其特征在于，“根据所述非季节类历史参数，确定非季节类当前参数”的步骤包括：获取每个时间段内使用频率最高的非季节类历史参数；根据获取的所有使用频率最高的非季节类历史参数，确定所述非季节类当前参数。
方案4：根据方案3所述的控制方法，其特征在于，“根据获取的所有使用频率最高的非季节类历史参数，确定所述非季节类当前参数”的步骤包括：判断所有使用频率最高的非季节类历史参数中是否存在重复的非季节类历史参数；如果存在重复的非季节类历史参数，则获取每个重复的非季节类历史参数的重复次数；选取重复次数最多的非季节类历史参数，并将其设为非季节类当前参数；如果不存在重复的非季节类历史参数，则从已获取的所有时间段中选取最接近当前时间的时间段，并将该时间段内使用频率最高的非季节类历史参数设为非季节类当前参数。
方案5：根据方案2所述的控制方法，其特征在于，所述家电为洗涤设备，所述非季节类历史参数/所述非季节类当前参数包括洗涤剂柔顺剂参数、抖散参数、蜂鸣音参数、震动参数、赃污度参数中的至少一个。
方案6：根据方案1所述的控制方法，其特征在于，“获取当前时间信息”的步骤包括：获取当前时间所对应的季节信息；获取与所述当前时间信息相对应的历史参数”的步骤包括：获取相同季节信息的所有季度内的季节类历史参数；“根据所述历史参数，确定当前参数”的步骤包括：根据季节类历史参数，确定季节类当前参数；“根据当前参数生成运行程序”的步骤包括：根据季节类当前参数生成运行程序。
方案7：根据方案6所述的控制方法，其特征在于，“根据季节类历史参数，确定季节类当前参数”的步骤包括：获取每个季度内使用频率最高的季节类历史参数；根据获取的所有使用频率最高的季节类历史参数，确定所述季节类当前参数。
方案8：根据方案7所述的控制方法，其特征在于，“根据获取的所有使用频率最高的季节类历史参数，确定所述季节类当前参数”的步骤包括：判断所有使用频率最高的季节类历史参数中是否存在重复的季节类历史参数；如果存在重复的季节类历史参数，则获取每个重复的季节类历史参数的重复次数；选取重复次数最多的季节类历史参数，并将其设为季节类当前参数；如果不存在重复的季节类历史参数，则从已获取的所有季度内选取最接近当前季度的季度，并将该季度内使用频率最高的季节类历史参数设为季节类当前参数。
方案9：根据方案6所述的控制方法，其特征在于，所述家电为洗涤设备，所述季节类历史参数/所述季节类当前参数包括衣物材质、衣物类型参数、洗涤时长、漂洗次数、脱水速度、脱水时长、烘干时长参数中的至少一个。
方案10：根据方案1所述的控制方法，其特征在于，“获取当前时间信息”的步骤包括：获取当前时间所对应的时间段信息；获取当前时间所对应的季节信息；“获取与所述当前时间信息相对应的历史参数”的步骤包括：获取相同时间段信息的所有时间段内的非季节类历史参数；获取相同季节信息的所有季度内的季节类历史参数；“根据所述历史参数，确定当前参数”的步骤包括：根据非季节类历史参数，确定非季节类当前参数；根据季节类历史参数，确定季节类 当前参数；“根据当前参数生成运行程序”的步骤包括：根据所述季节类当前参数和所述非季节类当前参数生成运行程序。
方案11：根据方案10所述的控制方法，其特征在于，“根据所述非季节类历史参数，确定非季节类当前参数”的步骤包括：获取每个时间段内使用频率最高的非季节类历史参数；根据获取的所有使用频率最高的非季节类历史参数，确定所述非季节类当前参数；“根据季节类历史参数，确定季节类当前参数”的步骤包括：获取每个季度内使用频率最高的季节类历史参数；根据获取的所有使用频率最高的季节类历史参数，确定所述季节类当前参数。
方案12：根据方案11所述的控制方法，其特征在于，“根据获取的所有使用频率最高的非季节类历史参数，确定所述非季节类当前参数”的步骤包括：判断所有使用频率最高的非季节类历史参数中是否存在重复的非季节类历史参数；如果存在重复的非季节类历史参数，则获取每个重复的非季节类历史参数的重复次数；选取重复次数最多的非季节类历史参数，并将其设为非季节类当前参数；如果不存在重复的非季节类历史参数，则从已获取的所有时间段中选取最接近当前时间的时间段，并将该时间段内使用频率最高的非季节类历史参数设为非季节类当前参数；“根据获取的所有使用频率最高的季节类历史参数，确定所述季节类当前参数”的步骤包括：判断所有使用频率最高的季节类历史参数中是否存在重复的季节类历史参数；如果存在重复的季节类历史参数，则获取每个重复的季节类历史参数的重复次数；选取重复次数最多的季节类历史参数，并将其设为季节类当前参数；如果不存在重复的季节类历史参数，则从已获取的所有季度内选取最接近当前季度的季度，并将该季度内使用频率最高的季节类历史参数设为季节类当前参数。
下面参照附图并结合洗涤设备来描述本发明的控制方法。
图1是本发明的控制方法的主要步骤流程图；
图2是本发明的控制方法的优选实施方式的详细步骤流程图。
本领域技术人员应当理解的是，这些实施方式仅仅用于解释本发明的技术原理，并非旨在限制本发明的保护范围。本领域技术人员可以根据需要对其作出调整，以便适应具体的应用场合。例如，虽然本发明是结合家电为洗涤设备的情形来描述控制方法的，但是这并不是限定的，本发明的控制方法还适用于其他能够设置工作参数来设定运行程序的家电，如空调器、智能冰箱等。
需要说明的是，在本发明的描述中，尽管本申请中按照特定顺序描述了本发明的控制方法的各个步骤，但是这些顺序并不是限制性的，在不偏离本发明的基本原理的前提下，本领域技术人员可以按照不同的顺序来执行所述步骤。
基于背景技术中指出的现有家电推荐用户使用的运行程序难以很好地满足用户需求的问题，本发明提供了一种家电的控制方法，旨在使家电的推荐程序贴合用户每次使用该家电时的实际需求。
首先参阅图1，图1是本发明的控制方法的主要步骤流程图。如图1所示，本发明的家电的控制方法包括：
步骤S1：获取当前时间信息；
步骤S2：获取与当前时间信息相对应的历史参数；
步骤S3：根据历史参数，确定当前参数；
步骤S4：根据当前参数生成运行程序。
在上述步骤中，“当前时间信息”为用户开启洗涤设备、准备运行洗涤设备时的具体时间信息。例如，在洗涤设备被用户唤醒开始准备运行时，洗涤设备即时获取的时间信息即为当前时间信息。进一步地，获取当前时间信息的时机并不是固定的。例如，该时间信息获取步骤的执行时机可以是用户主动发出获取指令后，如洗涤设备检测到用户发出的语音获取指令或者程序获取指令后，还可以是洗涤设备主动发起获取步骤，例如洗涤设备在被唤醒后经预设时间开始执行上述获取步骤，或者洗涤设备在被唤醒后检测到用户停留至洗涤设备前预设时间后执行上述获取步骤。
在获取当前时间信息后，通过获取的当前时间信息筛选家电的历史数据，将与当前时间信息不符的历史数据过滤，只留下与当前时间信息相对应的历史参数，则剩下的历史参数均可能符合洗涤设备的当前运行工况，以便在这些历史参数中能够确定符合洗涤设备的当前运行需求的参数从而生成洗涤设备的运行程序。
进一步地，洗涤设备的参数包括不受季节影响的非季节类参数和随季节变化的季节类参数。上述“设定当前参数”可以是设定非季节类参数，也可以是设定季节类参数。
在一种优选的实施方式中，上述“设定当前参数”为设定洗涤设备的非季节类参数，具体地，
上述步骤S1包括：
获取当前时间所对应的时间段信息；
上述步骤S2包括：
获取相同时间段信息的所有时间段内的非季节类历史参数；
上述步骤S3包括：
根据获取的非季节类历史参数，确定非季节类当前参数；
上述步骤S4包括：
根据非季节类当前参数生成运行程序。
在上述实施方式中，“时间段信息”是指洗涤设备获取到的当前时间所在的具体时间段。上述时间段所在的时间范围不是限定的，该时间范围可以以天来划分，如上述时间段是每天的某个时间段，也可以以星期来划分，如上述时间段是每个星期的某个时间段，还可以以月来划分，如上述时间段是每个月的某个时间段。例如，在时间范围为一天的情形下，从24：00开始划分，每两个小时为一个时间段，则在当前时间为8点15时，当前时间对应的时间段信息为每天的8:00-10:00；在仅将上述时间范围改变为一星期的情形下，当前时间对应的时间段信息为每个星期X的8:00-10:00；在仅将上述时间范围改变为一个月的情形下，当前时间对应的时间段信息为每个月X号的8:00-10:00。上述时间范围和划分方式均是本发明为了阐述技术方案而作出的示例，实际上，上述时间段的时长划分、划分起点时间、时间范围等因素均可根据用户的实际使用需求进行设定。例如，考虑到每 个时间段内能够获取到的参数数量，可以将时间段的划分时长延长。或者还可以按时间范围等因素的不同设定多种不同的获取方式，用户可以在洗衣机开始执行当前时间的获取步骤之前选择需要的获取方式，上述时间段的具体划分方式、时间范围等因素的变化均未超出本发明的原理和保护范围。
在获取到时间段信息之后，再获取同一时间段信息的所有时间段内的非季节类历史参数，例如，当时间段信息确定为每天的8:00到10:00时，则获取一个周期内每天8:00到10:00时间段内的所有非季节类历史参数，以便将非8：00到10：00时间段的非季节类历史参数过滤掉，缩小非季节类历史参数的筛选范围。然后，再从筛选出的非季节类历史参数中确定一个运行参数，并将该运行参数设定为非季节类当前参数，从而根据设定的非季节当前参数生成洗涤设备的运行程序。其中，一个周期的时间范围可以根据用户的习惯更新需求进行设定，如一年、六个月等。
进一步地，上述“根据非季节类历史参数，确定非季节类当前参数”的步骤包括：
获取每个时间段内使用频率最高的非季节类历史参数；
根据获取的所有使用频率最高的非季节类历史参数，确定非季节类当前参数。
也就是说，通过使用频率再一次筛选获取的非季节类历史参数，在每个时间段内选出至少一个使用频率最高的非季节类历史参数(例如，同一时间段内的两个不同参数的使用频率相同且最高时，则可以同时获取这两个参数)，以便以用户的参数使用习惯为筛选条件进一步缩小非季节类当前参数的选择范围。
更进一步地，上述“根据获取的所有使用频率最高的非季节类历史参数，确定非季节类当前参数”的步骤包括：
判断所有使用频率最高的非季节类历史参数中是否存在重复的非季节类历史参数；
如果存在重复的非季节类历史参数，则获取每个重复的非季节类历史参数的重复次数；
选取重复次数最多的非季节类历史参数，并将其设为非季节类当前参数；
如果不存在重复的非季节类历史参数，则从已获取的所有时间段中选取最接近当前时间的时间段，并将该时间段内使用频率最高的非季节类历史参数设为非季节类当前参数。
通过上述每个非季节类历史参数的重复次数的获取，能够判断出是否存在被用户频繁使用的非季节类历史参数，以便根据用户的使用习惯锁定关键性参数，使被设定为非季节类当前参数的历史参数为用户长期反复使用的参数，从而使得根据该关键性参数生成的运行程序能够最大程度地贴近用户的使用需求，符合用户的使用习惯。
例如，在以一天(即24小时)为时间范围、划分时长为两小时、划分起始时间为24:00、周期为一个月的情形下，若当前时间为X日的8:15，则当月X日之前的每一天的8：00到10:00均能够选择出至少一个非季节类历史参数，现以每天仅能够选出一个使用频率最高的参数为例。用参数1至参数(X-1)依次命名每天该时间段内筛选出的非季节类历史参数。在获取到参数1至参数(X-1)的使用频率后，如果参数1至参数(X-1)中的至少一部分参数为同一参数，则选择重复次数最高的参数作为非季节类当前参数。如果参数1至参数(X-1)中的每个参数均不相同，则选择参数(X-1)作为非季节类当前参数。其中，参数1至参数(X-1)既可以是同类参数，也可以是不同类参数。如果需要扩大运行程序的推荐准确度，则可以适当地扩大参数的可筛选范围，如延长周期、延长划分时长等。
需要说明的是，虽然上述示例是结合一个非季节类参数的获取过程来描述的，但是在洗涤设备实际执行上述步骤时，每次最终获取的非季节类当前参数也可以是多个，例如，在获取、筛选非季节类历史参数的过程中，还可以存在多个可以同时使用(即多个参数可以组成一个合理的运行程序)且重复次数相同的非季节类历史参数。作为示例，当洗涤设备为滚筒洗衣机时，非季节类参数(即非季节类历史参数/非季节类当前参数)包括洗涤剂柔顺剂参数、抖散参数、蜂鸣音参数、震动参数、赃污度参数中的至少一个。当然，非季节类参数可以随设备的工作种类、类型、型号等的不同而适应性改变。
在另一种优选的实施方式中，上述“设定当前参数”为设定洗涤设备的季节类参数，具体地，
步骤S1包括：
获取当前时间所对应的季节信息；
步骤S2包括：
获取相同季节信息的所有季度内的季节类历史参数；
步骤S3包括：
根据季节类历史参数，确定季节类当前参数；
步骤S4包括：
根据季节类当前参数生成运行程序。
在上述实施方式中，“季节信息”是指洗涤设备获取到的当前季节，如春季、春夏交替期、夏季、夏秋交替期、秋季、秋冬交替期、冬季等。可以根据用户需求设置春夏秋冬四季，也可以将每个季节进行细化，以便提升运行需求的判断准确性，如将春季分为早春、春季、晚春等。
在获取到季节信息之后，再获取同一季节的所有季度内的非季节类历史参数，其中，该季度可以是三个月的正常季度，也可以是季节细分后少于三个月的小季度。例如，在周期为三年的情形下，当获取到的时间信息为夏季(即每年的第二个季度)时，则获取三年内每年第二个季度的所有季节类历史参数，以便将非夏季季度的季节类历史参数过滤掉，缩小季节类历史参数的筛选范围。然后，再从筛选出的季节类历史参数中确定一个运行参数，并将该运行参数设定为季节类当前参数，从而根据设定的季节当前参数生成洗涤设备的运行程序。其中，一个周期的时间范围可以根据用户的设备使用年限、使用习惯的更新速度等进行设定。
进一步地，上述“根据季节类历史参数，确定季节类当前参数”的步骤包括：
获取每个季度内使用频率最高的季节类历史参数；
根据获取的所有使用频率最高的季节类历史参数，确定季节类当前参数。
也就是说，通过使用频率再一次筛选获取的季节类历史参数，在每个季度内选出至少一个使用频率最高的季节类历史参数(例如，同一季度内的两个不同参数的使用频率相同且最高时，则可以同时获取这两个参数)，以便以用户的参数使用习惯为筛选条件进一步缩小季节类当前参数的选择范围。
更进一步地，上述“根据获取的所有使用频率最高的季节类历史参数，确定季节类当前参数”的步骤包括：
判断所有使用频率最高的季节类历史参数中是否存在重复的季节类历史参数；
如果存在重复的季节类历史参数，则获取每个重复的季节类历史参数的重复次数；
选取重复次数最多的季节类历史参数，并将其设为季节类当前参数；
如果不存在重复的季节类历史参数，则从已获取的所有季度内选取最接近当前季度的季度，并将该季度内使用频率最高的季节类历史参数设为季节类当前参数。
通过上述每个季节类历史参数的重复次数的获取，能够判断出是否存在被用户频繁使用的季节类历史参数，以便根据用户的设备使用习惯锁定关键性参数。例如，通过对相应季度的衣物材质洗涤参数进行筛选，能够判断出用户在每个季度的穿衣习惯，从而对当前季节用户需要洗涤的衣物材质做出合理预判，进而使根据设定的关键性参数生成的运行程序能够最大程度地贴近用户预期的设备运行需求。
例如，在以四年为周期、每个季节划分为三个小季度(即一个月为一个小季度)的情形下，若当前时间为冬季的第一个季度，则该年之前的三年的每个冬季第一个季度内均能够选择出至少一个季节类历史参数。现以每年的该季度仅能够选出一个使用频率最高的参数为例，如果按照年份顺序每个季度内使用频率最高的季节类历史参数依次为参数1、参数2、参数3，则若参数1至参数3中存在重复出现的参数，则选择该重复出现的参数，如果参数1、参数2、参数3各不相同，则将前一年的参数3设定为季节类历史参数。在用户的设备使用年限比较短的情形下，数据的可筛选范围较小，可通过导入旧设 备的使用数据的方式扩大历史参数的可筛选数量，或者直接参考前一年的历史参数设定季节类当前参数。
作为示例，当洗涤设备为滚筒洗衣机时，上述季节类参数(即季节类历史参数/季节类当前参数)包括衣物材质、衣物类型参数、洗涤时长、漂洗次数、脱水速度、脱水时长、烘干时长参数中的至少一个。相似地，该类参数也可以随设备的工作种类、类型、型号等的不同而适应性增多或者减少。
在又一种优选的实施方式中，上述“设定当前参数”为同时设定洗涤设备的季节类参数和非季节类参数，具体地，
步骤S1包括：
获取当前时间所对应的时间段信息；
获取当前时间所对应的季节信息；
步骤S2包括：
获取相同时间段信息的所有时间段内的非季节类历史参数；
获取相同季节信息的所有季度内的季节类历史参数；
步骤S3包括：
根据非季节类历史参数，确定非季节类当前参数；
根据季节类历史参数，确定季节类当前参数；
步骤S4包括：
根据季节类当前参数和非季节类当前参数生成运行程序。
在上述实施方式中，通过季节信息筛选季节类历史参数以设定季节类当前参数，通过时间段信息筛选非季节类历史参数以设定非季节类当前参数，从而使得生成的运行程序能够更符合用户的穿衣习惯和衣物洗涤习惯。
本领域技术人员能够理解的是，虽然上述具体步骤是结合一套固定的先后顺序来描述的，如在获取当前时间信息时，先获取时间段信息再获取季节信息，但这并不是限定的。实际上，在设定两类参数的过程中，同类执行步骤既可以同时进行，也可以按一定顺序进行(如与上述执行顺序相同或者相反)。例如，在获取当前时间信息 时，既可以同时获取当前时间所对应的季节信息和时间段信息，又可以在获取完其中一个信息之后再获取另一个信息。
进一步地，上述“根据所述非季节类历史参数，确定非季节类当前参数”的步骤包括：
获取每个时间段内使用频率最高的非季节类历史参数；
根据获取的所有使用频率最高的非季节类历史参数，确定所述非季节类当前参数；
上述“根据季节类历史参数，确定季节类当前参数”的步骤包括：
获取每个季度内使用频率最高的季节类历史参数；
根据获取的所有使用频率最高的季节类历史参数，确定所述季节类当前参数。
更进一步地，在高使用频率的历史参数重复出现的情形下，上述“根据获取的所有使用频率最高的非季节类历史参数，确定所述非季节类当前参数”的步骤包括：
判断所有使用频率最高的非季节类历史参数中是否存在重复的非季节类历史参数；
如果存在重复的非季节类历史参数，则获取每个重复的非季节类历史参数的重复次数；
选取重复次数最多的非季节类历史参数，并将其设为非季节类当前参数；
如果不存在重复的非季节类历史参数，则从已获取的所有时间段中选取最接近当前时间的时间段，并将该时间段内使用频率最高的非季节类历史参数设为非季节类当前参数；
上述“根据获取的所有使用频率最高的季节类历史参数，确定所述季节类当前参数”的步骤包括：
判断所有使用频率最高的季节类历史参数中是否存在重复的季节类历史参数；
如果存在重复的季节类历史参数，则获取每个重复的季节类历史参数的重复次数；
选取重复次数最多的季节类历史参数，并将其设为季节类当前参数；
如果不存在重复的季节类历史参数，则从已获取的所有季度内选取最接近当前季度的季度，并将该季度内使用频率最高的季节类历史参数设为季节类当前参数。
由于上文中已经结合具体示例分别阐述了两类参数的具体设定情形，因此此处不再对同时设定两类参数的过程进行赘述。
再参阅图2，图2是本发明的控制方法的优选实施方式的详细步骤流程图。如图2所示，本发明的优选实施方式的详细步骤为：
步骤S1001：获取当前时间所对应的时间段信息；
步骤S1002：获取当前时间所对应的季节信息；
步骤S1003：获取相同时间段信息的所有时间段内的非季节类历史参数；
步骤S1004：获取相同季节信息的所有季度内的季节类历史参数；
步骤S1005：获取每个时间段内使用频率最高的非季节类历史参数；
步骤S1006：获取每个季度内使用频率最高的季节类历史参数；
步骤S1007：判断所有使用频率最高的非季节类历史参数中是否存在重复的非季节类历史参数，如果存在重复的非季节类历史参数，则执行步骤S1008，否则则执行步骤S1010；
步骤S1008：获取每个重复的非季节类历史参数的重复次数；
步骤S1009：将重复次数最多的非季节类历史参数设为非季节类当前参数；
步骤S1010：从已获取的所有时间段中选取最接近当前时间的时间段，并将该时间段内使用频率最高的非季节类历史参数设为非季节类当前参数；
步骤S1011：判断所有使用频率最高的季节类历史参数中是否存在重复的季节类历史参数，如果存在重复的季节类历史参数，则执行步骤S1012，否则则执行步骤S1014；
步骤S1012：获取每个重复的季节类历史参数的重复次数；
步骤S1013：将重复次数最多的季节类历史参数设为季节类当前参数；
步骤S1014：从已获取的所有季度内选取最接近当前季度的季度，并将该季度内使用频率最高的季节类历史参数设为季节类当前参数；
步骤S1015：根据设定好的季节类当前参数和非季节类当前参数生成运行程序。
综上所述，本发明的控制方法能够根据当前时间信息和历史参数、历史参数的使用频率来设定当前参数，从而使得设定的当前参数能够符合用户的惯用参数设置习惯或者最新参数设置习惯，进而使得根据上述当前参数生成的运行程序能够最大限度的贴近用户的实际使用需求，增加了设备推荐的程序的用户使用率，使得使用该控制方法的设备能够具备使用方便、操作便捷、智能化程序高等优点。
至此，已经结合附图所示的优选实施方式描述了本发明的技术方案，但是，本领域技术人员容易理解的是，本发明的保护范围显然不局限于这些具体实施方式。在不偏离本发明的原理的前提下，本领域技术人员可以对相关技术特征作出等同的更改或替换，这些更改或替换之后的技术方案都将落入本发明的保护范围之内。
Claims (12)
- 一种家电的控制方法，其特征在于，所述控制方法包括：获取当前时间信息；获取与所述当前时间信息相对应的历史参数；根据所述历史参数，确定当前参数；根据当前参数生成运行程序。
- 根据权利要求1所述的控制方法，其特征在于，“获取当前时间信息”的步骤包括：获取当前时间所对应的时间段信息；“获取与所述当前时间信息相对应的历史参数”的步骤包括：获取相同时间段信息的所有时间段内的非季节类历史参数；“根据所述历史参数，确定当前参数”的步骤包括：根据所述非季节类历史参数，确定非季节类当前参数；“根据当前参数生成运行程序”的步骤包括：根据所述非季节类当前参数生成运行程序。
- 根据权利要求2所述的控制方法，其特征在于，“根据所述非季节类历史参数，确定非季节类当前参数”的步骤包括：获取每个时间段内使用频率最高的非季节类历史参数；根据获取的所有使用频率最高的非季节类历史参数，确定所述非季节类当前参数。
- 根据权利要求3所述的控制方法，其特征在于，“根据获取的所有使用频率最高的非季节类历史参数，确定所述非季节类当前参数”的步骤包括：判断所有使用频率最高的非季节类历史参数中是否存在重复的非季节类历史参数；如果存在重复的非季节类历史参数，则获取每个重复的非季节类历史参数的重复次数；选取重复次数最多的非季节类历史参数，并将其设为非季节类当前参数；如果不存在重复的非季节类历史参数，则从已获取的所有时间段中选取最接近当前时间的时间段，并将该时间段内使用频率最高的非季节类历史参数设为非季节类当前参数。
- 根据权利要求2所述的控制方法，其特征在于，所述家电为洗涤设备，所述非季节类历史参数/所述非季节类当前参数包括洗涤剂柔顺剂参数、抖散参数、蜂鸣音参数、震动参数、赃污度参数中的至少一个。
- 根据权利要求1所述的控制方法，其特征在于，“获取当前时间信息”的步骤包括：获取当前时间所对应的季节信息；获取与所述当前时间信息相对应的历史参数”的步骤包括：获取相同季节信息的所有季度内的季节类历史参数；“根据所述历史参数，确定当前参数”的步骤包括：根据季节类历史参数，确定季节类当前参数；“根据当前参数生成运行程序”的步骤包括：根据季节类当前参数生成运行程序。
- 根据权利要求6所述的控制方法，其特征在于，“根据季节类历史参数，确定季节类当前参数”的步骤包括：获取每个季度内使用频率最高的季节类历史参数；根据获取的所有使用频率最高的季节类历史参数，确定所述季节类当前参数。
- 根据权利要求7所述的控制方法，其特征在于，“根据获取的所有使用频率最高的季节类历史参数，确定所述季节类当前参数”的步骤包括：判断所有使用频率最高的季节类历史参数中是否存在重复的季节 类历史参数；如果存在重复的季节类历史参数，则获取每个重复的季节类历史参数的重复次数；选取重复次数最多的季节类历史参数，并将其设为季节类当前参数；如果不存在重复的季节类历史参数，则从已获取的所有季度内选取最接近当前季度的季度，并将该季度内使用频率最高的季节类历史参数设为季节类当前参数。
- 根据权利要求6所述的控制方法，其特征在于，所述家电为洗涤设备，所述季节类历史参数/所述季节类当前参数包括衣物材质、衣物类型参数、洗涤时长、漂洗次数、脱水速度、脱水时长、烘干时长参数中的至少一个。
- 根据权利要求1所述的控制方法，其特征在于，“获取当前时间信息”的步骤包括：获取当前时间所对应的时间段信息；获取当前时间所对应的季节信息；“获取与所述当前时间信息相对应的历史参数”的步骤包括：获取相同时间段信息的所有时间段内的非季节类历史参数；获取相同季节信息的所有季度内的季节类历史参数；“根据所述历史参数，确定当前参数”的步骤包括：根据非季节类历史参数，确定非季节类当前参数；根据季节类历史参数，确定季节类当前参数；“根据当前参数生成运行程序”的步骤包括：根据所述季节类当前参数和所述非季节类当前参数生成运行程序。
- 根据权利要求10所述的控制方法，其特征在于，“根据所述非季节类历史参数，确定非季节类当前参数”的步骤包括：获取每个时间段内使用频率最高的非季节类历史参数；根据获取的所有使用频率最高的非季节类历史参数，确定所述非季节类当前参数；“根据季节类历史参数，确定季节类当前参数”的步骤包括：获取每个季度内使用频率最高的季节类历史参数；根据获取的所有使用频率最高的季节类历史参数，确定所述季节类当前参数。
- 根据权利要求11所述的控制方法，其特征在于，“根据获取的所有使用频率最高的非季节类历史参数，确定所述非季节类当前参数”的步骤包括：判断所有使用频率最高的非季节类历史参数中是否存在重复的非季节类历史参数；如果存在重复的非季节类历史参数，则获取每个重复的非季节类历史参数的重复次数；选取重复次数最多的非季节类历史参数，并将其设为非季节类当前参数；如果不存在重复的非季节类历史参数，则从已获取的所有时间段中选取最接近当前时间的时间段，并将该时间段内使用频率最高的非季节类历史参数设为非季节类当前参数；“根据获取的所有使用频率最高的季节类历史参数，确定所述季节类当前参数”的步骤包括：判断所有使用频率最高的季节类历史参数中是否存在重复的季节类历史参数；如果存在重复的季节类历史参数，则获取每个重复的季节类历史参数的重复次数；选取重复次数最多的季节类历史参数，并将其设为季节类当前参数；如果不存在重复的季节类历史参数，则从已获取的所有季度内选取最接近当前季度的季度，并将该季度内使用频率最高的季节类历史参数设为季节类当前参数。
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| CN108866932A (zh) * | 2017-05-16 | 2018-11-23 | 青岛海尔滚筒洗衣机有限公司 | 一种调整洗涤参数的方法及装置 |
| CN108006927A (zh) * | 2017-12-19 | 2018-05-08 | 珠海格力电器股份有限公司 | 空调及其控制方法 |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113777941A (zh) * | 2021-09-03 | 2021-12-10 | 珠海格力电器股份有限公司 | 设备运行控制方法、装置、设备及存储介质 |
| WO2023207170A1 (zh) * | 2022-04-25 | 2023-11-02 | 青岛海尔科技有限公司 | 洗涤程序的推荐方法及装置、存储介质及电子装置 |
| CN114875632A (zh) * | 2022-05-31 | 2022-08-09 | 四川虹美智能科技有限公司 | 智能烘洗控制方法及装置 |
| CN114875632B (zh) * | 2022-05-31 | 2023-08-22 | 四川虹美智能科技有限公司 | 智能烘洗控制方法及装置 |
Also Published As
| Publication number | Publication date |
|---|---|
| JP2022520579A (ja) | 2022-03-31 |
| CN111560730A (zh) | 2020-08-21 |
| JP7195453B2 (ja) | 2022-12-23 |
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