WO2023143295A1 - 洗碗机控制方法、装置、洗碗机及计算机存储介质 - Google Patents

洗碗机控制方法、装置、洗碗机及计算机存储介质 Download PDF

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Publication number
WO2023143295A1
WO2023143295A1 PCT/CN2023/072839 CN2023072839W WO2023143295A1 WO 2023143295 A1 WO2023143295 A1 WO 2023143295A1 CN 2023072839 W CN2023072839 W CN 2023072839W WO 2023143295 A1 WO2023143295 A1 WO 2023143295A1
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WIPO (PCT)
Prior art keywords
time
dishwasher
historical
tableware
door opening
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PCT/CN2023/072839
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English (en)
French (fr)
Inventor
刘亚涛
魏中科
张力潇
赵乐
沈鹤彬
陈世穷
吴启军
王雪青
Original Assignee
芜湖美的智能厨电制造有限公司
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Priority claimed from CN202210094276.5A external-priority patent/CN116530900A/zh
Priority claimed from CN202211245183.4A external-priority patent/CN117898647A/zh
Application filed by 芜湖美的智能厨电制造有限公司 filed Critical 芜湖美的智能厨电制造有限公司
Publication of WO2023143295A1 publication Critical patent/WO2023143295A1/zh

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Classifications

    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
    • A47L15/00—Washing or rinsing machines for crockery or tableware

Definitions

  • the present application relates to the technical field of household control, in particular to a dishwasher control method and device, a dishwasher and a computer storage medium.
  • dishwashers With the improvement of people's living standards, dishwashers have gradually entered various families. However, after the dishwasher has cleaned the tableware, it often produces peculiar smell because it has been left for too long, which will cause the user to have a bad experience in the process of taking the tableware.
  • the embodiment of the present application provides a dishwasher control method and device, a dishwasher and a computer storage medium.
  • a dishwasher control method and device By jointly determining the user's time to pick up tableware according to the working time of the dishwasher and the user's active time, before the user picks up the tableware , can automatically turn on the deodorization treatment, remove odors, and improve user experience. Described technical scheme is as follows:
  • an embodiment of the present application provides a dishwasher control method, the dishwasher includes a human body sensor module; the method includes: acquiring an active time set within a preset time period, the active time set includes at least one active time , the active time is the time when the human body sensing module detects human activity in the preset area of the dishwasher; obtains the working time of the dishwasher in the preset time period; predicts the user's choice based on the active time set and working time Tableware time: Control the dishwasher to perform deodorization treatment at the target time, and the target time is the first long time before the time to pick up the tableware.
  • the embodiment of the present application provides another dishwasher control method.
  • the method includes: acquiring historical behavior data of the dishwasher within a preset time period; Take-out time; control the dishwasher to start the drying function before the take-out time.
  • the embodiment of the present application provides a dishwasher control device, the dishwasher includes a human body sensing module; the dishwasher control device includes: a first acquisition module, configured to acquire the active time set within a preset time period The active time set includes at least one active time; the active time is the time when the human body sensing module senses human activity in the preset area of the dishwasher; the second acquisition module is used to acquire the dishwasher within the preset time period The working time; the prediction module is used to predict the user’s time to pick up tableware based on the active time set and working time; the first control module is used to control the dishwasher to perform deodorization treatment at the target time; the target time is the first time before the time to pick up tableware A long moment.
  • the embodiment of the present application provides another dishwasher control device, including: a fourth acquisition module, configured to acquire historical behavior data of the dishwasher within a preset time period; a prediction module, configured to The historical behavior data predicts the take-out time of the tableware in the dishwasher; the third control module is used to control the dishwasher to start the drying function before the take-out time.
  • the embodiment of the present application provides a dishwasher, including: a processor and a memory;
  • the above-mentioned processor is connected to the above-mentioned memory; the above-mentioned memory is used to store the executable program code; the above-mentioned processor runs the program corresponding to the above-mentioned executable program code by reading the executable program code stored in the above-mentioned memory for execution
  • the method provided by the first aspect or any possible implementation manner of the first aspect or the second aspect or any possible implementation manner of the second aspect of the embodiments of this specification.
  • the embodiment of the present application provides another dishwasher, including: a door control switch, used to detect the door opening and/or closing state of the dishwasher, and send information indicating the door opening and/or closing state, the information Used to form historical door opening and/or door closing data; a humidity detection device, used to detect the humidity inside the dishwasher; and a processor, used to implement the second aspect or the first aspect of the embodiment of this specification.
  • a door control switch used to detect the door opening and/or closing state of the dishwasher, and send information indicating the door opening and/or closing state, the information Used to form historical door opening and/or door closing data
  • a humidity detection device used to detect the humidity inside the dishwasher
  • a processor used to implement the second aspect or the first aspect of the embodiment of this specification. The method provided by any possible implementation of the two aspects.
  • the embodiment of the present application provides a computer storage medium, the above-mentioned computer storage medium stores a plurality of instructions, and the above-mentioned instructions are suitable for being loaded by a processor and executing any one of the first aspect or the first aspect of the embodiment of the present application.
  • the above-mentioned instructions are suitable for being loaded by a processor and executing any one of the first aspect or the first aspect of the embodiment of the present application.
  • the active time set includes at least one active time.
  • the module senses the time when human activities occur in the preset area of the dishwasher, and predicts the time when the user will pick up the tableware based on the active time set and working time, and then controls the dishwasher to perform deodorization treatment at the target time.
  • the dishwasher was automatically controlled to perform deodorization treatment to remove the peculiar smell caused by the dishwasher for too long after washing the tableware, improving the user experience.
  • Fig. 1 is a schematic structural diagram of a dishwasher control system provided by an exemplary embodiment of the present application
  • FIG. 2 is a schematic flowchart of a dishwasher control method provided by an exemplary embodiment of the present application
  • FIG. 3 is a schematic diagram of an implementation process for predicting the time when a user takes tableware provided by an exemplary embodiment of the present application
  • FIG. 4 is a schematic diagram of another implementation process for predicting the time when a user takes tableware provided by an exemplary embodiment of the present application
  • Fig. 5 is a schematic diagram of active time sets and working hours within a preset time period provided by an exemplary embodiment of the present application
  • Fig. 6 is a schematic flowchart of another dishwasher control method provided by an exemplary embodiment of the present application.
  • Fig. 7 is a schematic flowchart of another dishwasher control method provided by an exemplary embodiment of the present application.
  • Fig. 8 is a schematic flowchart of another dishwasher control method provided by an exemplary embodiment of the present application.
  • Fig. 9 is a schematic flow chart of a step of predicting the take-out time provided by an exemplary embodiment of the present application.
  • Fig. 10 is a schematic flowchart of another dishwasher control method provided by an exemplary embodiment of the present application.
  • Fig. 11 is a structural block diagram of a dishwasher control provided by an exemplary embodiment of the present application.
  • Fig. 12 is a structural block diagram of a dishwasher control system provided by an exemplary embodiment of the present application.
  • Fig. 13 is a schematic structural diagram of another dishwasher control device provided by an exemplary embodiment of the present application.
  • Fig. 14 is a schematic structural diagram of a dishwasher provided in an exemplary embodiment of the present application.
  • the embodiment of the present application proposes a dishwasher control method, which can predict the time when the user takes the tableware according to the working time of the dishwasher and the active time when the user is active around the dishwasher, so as to reduce the time when the dishwasher is used.
  • Complexity before the user takes the tableware, automatically control the dishwasher to perform deodorization treatment, remove the peculiar smell caused by the dishwasher for too long after cleaning the tableware, and improve the user experience.
  • FIG. 1 is a schematic structural diagram of a dishwasher control system provided by an exemplary embodiment of the present application.
  • the dishwasher control system may include: a dishwasher and a server. in:
  • a dishwasher can be a device that can automatically clean tableware such as bowls, chopsticks, plates, plates, knives, and forks.
  • the dishwasher may include, but is not limited to, a human body sensor module, a control panel, and an odor-cleaning module.
  • the above-mentioned human body sensing module is used to sense human body activities in the preset area of the dishwasher, and may include, but is not limited to, microwave radar sensors, human body infrared sensors, and the like.
  • the aforementioned preset area may be, but not limited to, an area whose distance from the dishwasher is less than or equal to 0.4 meters, 0.2 meters, and the like.
  • the above-mentioned control board is connected with the above-mentioned human body sensing module and the above-mentioned deodorizing module, and is used to obtain the time when the human body sensing module senses human activities in the preset area of the dishwasher within the preset time period, that is, the active time set, and count (Obtain) the working time of the dishwasher within the preset time period, then predict the user's time to pick up the tableware according to the active time set and working time, and finally turn on the dishwasher at the first long time before the target time is the time to pick up the tableware
  • the deodorization module controls the dishwasher for deodorization treatment.
  • the dishwasher can establish a data relationship with the network, and establish a data connection relationship with the server through the network, such as sending the active time set within a preset time period and the working time of the dishwasher.
  • the server can be a server capable of providing various dishwasher controls, and can detect the time when human activities occur in the preset area of the dishwasher from the acquisition to the human body sensing module of the dishwasher within a preset time period through the network, that is, Active time set, and get the working time of the dishwasher in the preset time period, then predict the user's time to pick up the tableware according to the active time set and working time, and finally at the target time, the first long time before the time to pick up the tableware, send to The dishwasher sends a deodorization instruction to control the control panel of the dishwasher to open the deodorization module of the dishwasher, that is, to control the dishwasher to perform deodorization treatment.
  • the aforementioned server may be, but not limited to, a hardware server, a virtual server, a cloud server, and the like.
  • the network may be a medium providing a communication link between the dishwasher and the server, or the Internet including network devices and transmission media, but is not limited thereto.
  • the transmission medium can be a wired link, such as but not limited to, coaxial cable, optical fiber and digital subscriber line (digital subscriber line, DSL), or a wireless link, such as but not limited to, wireless Internet access (wireless fidelity, WIFI), Bluetooth and mobile device networking, etc.
  • the number of dishwashers and servers in the dishwasher control system shown in FIG. 1 is only an example, and in a specific implementation, the dishwasher control system may include any number of dishwashers and servers.
  • the server may be a server cluster composed of multiple servers.
  • FIG. 2 is a schematic flowchart of a dishwasher control method provided in an exemplary embodiment of the present application. As shown in Figure 2, the dishwasher control method includes the following steps:
  • the active time set within a preset time period can be obtained through the human body induction module installed on the dishwasher.
  • the above-mentioned active time set includes at least one active time, and the active time is the time when the human body sensing module senses human activity in the preset area of the dishwasher.
  • the above preset time period can be but not limited to 3 days, a week or a month, etc. The embodiment does not limit this.
  • the aforementioned preset area may be, but not limited to, an area whose distance from the dishwasher is less than or equal to 0.4 meters, 0.2 meters, and the like.
  • the working time of the dishwasher within the preset time period will also be obtained.
  • the aforementioned working time may include, but is not limited to, the first moment when the dishwasher starts working, the second moment when the dishwasher finishes working, and the like.
  • S203 Predict the user's tableware picking time based on the active time set and working time.
  • the above preset time period includes N periods.
  • the above tableware picking time is used to represent the time when the user may take the tableware in a single cycle.
  • the above N is a positive integer greater than 1.
  • the foregoing period may also be days, weeks, months, etc., which are not limited in this embodiment of the present application.
  • the user's daily tableware taking in the future can be predicted based on the active time set and working time within these 7 days time.
  • the above working time may include a working time period of the dishwasher within a preset time period.
  • the user's time to pick up the tableware can be directly predicted based on the active time outside the working time of the dishwasher; the above-mentioned time to pick up the tableware can be It is not limited to concentrate the active time with the largest number outside the working time period of the dishwasher for the active time within the preset time period.
  • the active time within 7 days (7 cycles) includes 12:00 on the first day, 12:00 on the second day, 12:00 on the third day, 12:00 on the fourth day, and 12:00 on the fifth day 12:00 and 14:00 on the sixth and seventh days
  • the working hours of the dishwasher within 7 days (7 cycles) are from 11:00 to 13:00 on the third day, and from 13:00 to 15:00 on the sixth day. It can be known that among the active hours outside the working hours of the dishwasher in these 7 days, the most active time is 12:00, and there are 4 in total. It can be predicted that the user is likely to pick up the tableware at 12:00 every day. That is, the time for taking tableware can be determined as 12 o'clock.
  • the above tableware picking time can include one or more, and the above multiple tableware picking time can be the tableware picking time corresponding to different cycles or different preset time periods, for example but not limited to, it can be based on Monday to Friday (work Day)
  • the 5-day active time set and working time predict the user's time to pick up tableware on each working day in the future, and predict the user's time to pick up tableware on each weekend based on the active time set and working time of multiple weekends.
  • the preset time period includes N periods, and each period includes M consecutive time periods of equal duration. Due to the actual situation, the active time of the user in each cycle or the time to pick up the tableware may be different. For example, if the user appears in the preset area of the dishwasher at 12 o'clock today, it may not be until 5 minutes after 12 o'clock tomorrow. Therefore, in order to ensure the accuracy of the control of the dishwasher and further ensure that the dishwasher can be controlled to perform odor-cleaning treatment before the user takes the tableware, the above-mentioned tableware can be used at the moment of taking the tableware. It represents the starting moment of at least one time period during which the user may take tableware out of the above M time periods. Both N and M above are positive integers greater than 1.
  • the foregoing period may also be days, weeks, months, etc., which are not limited in this embodiment of the present application.
  • the duration corresponding to each of the foregoing M time periods may be 1 hour, 30 minutes, etc., which is not limited in this embodiment of the present application.
  • the above working time includes the first moment when the dishwasher starts working. Since the active time before the first moment when the dishwasher starts to work is likely to be the active time when the user puts the tableware to be cleaned, rather than when the user picks up the tableware after the dishwasher has cleaned the tableware.
  • the implementation process of predicting the user’s tableware picking time based on the active time set and working time in the above S203 can be shown in Figure 3 : After obtaining the active time set and working time in the preset time period, you can first judge whether the active time set in the active time set is within the second time period before the first moment of starting work.
  • the active time in the active time set is filtered out to obtain a target active time set whose active time is not within the second time period before the first moment.
  • the foregoing second duration may be 30 minutes, 1 hour, etc., which is not limited in this embodiment of the present application.
  • the user's time to pick up the tableware can be directly predicted based on the target active time set, and the user is more likely to pick up the tableware by the target
  • the standard active time set can get a more accurate time to pick up the tableware, and realize more precise control of the dishwasher for deodorization treatment.
  • the above working time also includes the second moment when the dishwasher finishes working. If the user is active in the preset area of the dishwasher for a period of time after the second moment when the dishwasher finishes working, the user is likely to need to pick up the tableware, that is, after the second moment when the dishwasher finishes working.
  • the active time that occurs within a certain period of time is more likely to be the active time when the user is picking up tableware than the active time in other time periods.
  • the above S203 is based on the active time
  • the implementation process of predicting the user’s time to pick up the tableware set and working time can also be shown in Figure 4, that is, after filtering out the active time within the second time period before the first moment to obtain the target active time set, the above-mentioned target active time based on the target active time
  • the implementation process of predicting the user's time to pick up tableware can be: first divide the target active time set into the first target active time set and the second target active data set based on the second moment, and then based on the first target active time set and the second target active time set The first target weight corresponding to a target active time set, the second target active time set, and the second target weight corresponding to the second target active time set determine the user's tableware picking time.
  • the above-mentioned first target active time set includes the active time of the target active time concentrated within the third time after the second moment
  • the second target active data set includes the active time of the target active time that does not appear within the third time after the second moment . It is equivalent to first judging whether the active time in the target active time concentration is within the third time period after the second moment when the dishwasher finishes working, and dividing all the active time in the target active time concentration within the third time period after the second moment into the first A target active time set, all the active time not within the third time period after the second moment is divided into the second target active time set, and then the first target active time set is weighted with the corresponding first target weight, and the second The target active time set is weighted with the corresponding second target weight, and finally the tableware picking time is jointly predicted by the weighted first target active time set and the second target active time set.
  • the above-mentioned tableware picking time may be the starting time of at least one time period in which the sum of the weights of the active times in the time period corresponding to the N cycles in the above-mentioned M time periods is the highest.
  • the above-mentioned first target weight is greater than the above-mentioned second target weight. Since the active time in the first target active time set within the third time period after the second moment is more likely to be the corresponding active time when the user picks up the tableware, it can be Set a higher weight for the first target active time set, so that it occupies a more important position in the process of predicting the time of taking the tableware, so as to ensure the accuracy of the predicted time of taking the tableware, and further improve the accuracy of the dishwasher control and effectiveness.
  • the third duration may be equal to the second duration, or may be greater than or less than the second duration, which is not limited in this embodiment of the present application.
  • each day can be divided into 12 consecutive time periods, and each time period corresponds to a duration of 2 hours.
  • preset time period After obtaining the active time set and work time within 7 days (preset time period) as shown in Figure 5
  • the first target weight is 1.5 and the second target weight is 1, it can be obtained by weighting and summing the active time corresponding to each time period within the 7 days based on the first target active time set and the second target active time set, 6 points
  • the sum of active time weights corresponding to 8:00 is 5, the sum of active time weights corresponding to 8:00 to 10:00 is 1, the sum of active time weights corresponding to 10:00 to 12:00 is 0, and the sum of active time weights corresponding to 14:00 to 16:00
  • the sum of active time weights is 7.5, the sum of active time weights corresponding to 16:00 to 18:00 is 2, and the sum of active time weights corresponding to other time periods is 0, so it can be considered that the user spends 14:00 to 16:00 every day.
  • the possibility of picking up the tableware during the time period is the greatest. It can be determined that the time for picking up the tableware is 14:00, and the dishwasher is controlled at the first time (such as but not limited to 30 minutes, 20 minutes, etc.) before 14:00 every day to clean the smell As far as possible, ensure that the odor in the dishwasher is eliminated before the user picks up the dishes.
  • the above-mentioned dishwasher control method further includes:
  • S204 Control the dishwasher to perform deodorizing treatment at the target time, where the target time is the first time before the time when the tableware is picked up.
  • the deodorization treatment takes a certain amount of time to remove the peculiar smell in the dishwasher, in order to ensure that all the peculiar smell in the dishwasher has been removed when the user takes the tableware, it is possible to At the first time, which is the target time, the dishwasher starts to be controlled for deodorization.
  • the dishwasher generally has a storage function, that is, when the dishwasher is not washing dishes, the dishwasher will turn on the internal hot air to dry, and the cold air circulation function can achieve the effect of sterilization.
  • the storage function of the dishwasher is not turned on, If the dishwasher is controlled to turn on the deodorization module, the deodorization effect cannot be achieved. Therefore, in order to avoid the waste of power consumption of the dishwasher caused by ineffective deodorization treatment, you can control the dishwasher Before performing the deodorization treatment, first confirm whether the storage function of the dishwasher is turned on, if it is turned on, control the dishwasher to perform the deodorization treatment, and if not, prompt the user to turn on the storage function.
  • the active time set includes at least one active time
  • the active time is when the human body sensing module senses that the washing machine is The time when human activities occur in the preset area of the dishwasher, and based on the active time set and working time, predict the user's time to pick up the tableware, and then control the dishwasher to perform deodorization treatment at the target time.
  • the target time is the first time before the time to pick up the tableware.
  • the user's time to pick up the tableware is jointly predicted, and the dishwasher is automatically controlled to clean the odor before the user picks up the tableware.
  • the peculiar smell produced by the dishwasher after being left for too long after washing the tableware reduces the complexity of using the dishwasher and improves the user experience.
  • FIG. 6 is a schematic flowchart of another dishwasher control method provided in an exemplary embodiment of the present application. As shown in Figure 6, the dishwasher control method includes the following steps:
  • S601 is the same as S201, and will not be repeated here.
  • S602 is consistent with S202, and will not be repeated here.
  • the dishwasher when the dishwasher is installed, in addition to obtaining the active time set and the working time of the dishwasher within the preset time period, it will also obtain the opening time.
  • the opening time of the above-mentioned dishwasher door assembly may be the time when the user puts the tableware, and may also be the time when the user takes the tableware.
  • corresponding weights can be set for each active time and each opening time in the active time set based on the working time, and then predict the user's tableware picking time in a similar manner to S203 above, which will not be repeated here.
  • the user Since the user is more likely to take the tableware when the dishwasher door assembly is opened than when human activities are detected in the preset area of the dishwasher, but in a short period of time, the user takes the tableware data, that is, the data of the dishwasher door assembly.
  • the opening time is less.
  • the active time set within the preset time period can be used to increase the data link, and combined with the working time through the weight change
  • the high opening time is used to jointly predict the time when the user takes the tableware, making the control of the dishwasher more accurate and effective.
  • the above working time includes the first moment when the dishwasher starts working.
  • the above S604 predicts the user's time based on the active time set, working time, and opening time.
  • the time for taking tableware can be to first filter out the opening time of the door assembly within the fourth time period before the first time, to obtain the target opening time, and then predict the user's tableware picking based on the active time set, working time and target opening time time.
  • the aforementioned fourth duration may be, but not limited to, 30 minutes, 20 minutes, and so on.
  • the above prediction process is similar to the process shown in Figure 4, that is, based on the first target active time set in the active time set and the corresponding first target weight, the second target active time set and the corresponding second target weight, the target can be turned on
  • the time and the corresponding third target weight jointly predict the time when the user takes the tableware.
  • the third target weight is greater than the first target weight, and the first target weight is greater than the second target weight.
  • S605. Control the dishwasher to perform deodorization treatment at the target time, where the target time is the first time before the time when the tableware is picked up.
  • S605 is consistent with S204, and will not be repeated here.
  • the active time set includes at least one active time, and the active time is the human body
  • the sensing module senses the time when human activities occur in the preset area of the dishwasher, and predicts the time when the user takes the tableware based on the active time set, working time and the opening time of the door assembly, and then controls the dishwasher to perform cleaning at the target time. Odor treatment, the target time is the first long time before the time of picking up the tableware.
  • the dishwasher control is more accurate and effective, and realizes automatic control of the dishwasher to perform deodorization treatment before the user takes the tableware, removes the peculiar smell caused by the dishwasher for too long after cleaning the tableware, reduces the complexity of the use of the dishwasher, and further Improve user experience.
  • FIG. 7 is a schematic flowchart of another dishwasher control method provided by an exemplary embodiment of the present application. As shown in Figure 7, the dishwasher control method includes the following steps:
  • S701 is the same as S201, and will not be repeated here.
  • S702 is consistent with S202, and will not be repeated here.
  • S703 is consistent with S203, and will not be repeated here.
  • S704 is consistent with S204, and will not be repeated here.
  • the dishwasher after the dishwasher is controlled to perform the deodorization treatment at the target time, it may be further determined whether the duration of the dishwasher to perform the deodorization treatment reaches the fifth duration.
  • the above-mentioned fifth duration may be 20 minutes, 25 minutes, etc., which may be set according to actual conditions, which is not limited in this embodiment of the present application.
  • the dishwasher will be controlled to continue the deodorization treatment.
  • the duration of the deodorization treatment of the dishwasher reaches the fifth duration, it means that the peculiar smell inside the dishwasher has been completely removed, and the dishwasher can be controlled to end the deodorization treatment, that is, the deodorization module is turned off.
  • the fifth time period for the dishwasher to perform the deodorization treatment should be shorter than the first time period, that is, to realize automatic control of the dishwasher to complete the cleaning process before the user takes out the tableware. Odor treatment operation can completely remove the peculiar smell produced by the dishwasher after washing the tableware for too long, reducing the complexity of using the dishwasher and further improving the user experience.
  • FIG. 8 is a schematic flowchart of another dishwasher control method provided by an exemplary embodiment of the present application. As shown in FIG. 8 , it is illustrated by taking the method applied to a dishwasher processor as an example, and the dishwasher control method may include:
  • the historical behavior data is historical usage behavior information of the dishwasher, for example, may include function usage behavior information.
  • the preset time period is a preset time period, such as one month or four weeks.
  • the processor may acquire historical behavior data of the dishwasher within a preset time period (for example, four weeks).
  • the time when the tableware is taken out from the dishwasher is the time node when the user takes out the tableware.
  • the processor can learn the usage behavior of the dishwasher in the past preset time period (for example, four weeks) according to the historical behavior data in the preset time period, and the usage behavior of the dishwasher can include Information such as door opening or closing behavior, function usage behavior, and drying behavior can predict the time when the tableware in the dishwasher is taken out, that is, to judge the time node when the user often takes out the tableware. Further, the processor can learn the use behavior of the dishwasher in the past preset time period (for example, four weeks) through a corresponding prediction algorithm model.
  • the processor predicts the take-out time of the tableware in the dishwasher, it can control the dishwasher to turn on the drying function before the take-out time, that is, to dry the tableware in advance before the user takes the tableware, preventing the user from opening the dishwashing machine.
  • the tableware obtained by the machine is wet and covered with water droplets, which improves the user experience.
  • the control method for the dishwasher described above obtains the historical behavior data of the dishwasher within a preset time period, predicts the take-out time of the tableware in the dishwasher according to the historical behavior data, and controls the dishwasher to start before the take-out time. Drying function.
  • the above-mentioned technical solution solves the problem that existing dishwashers have a large degree of user dependence, and greatly reduces the degree of dependence on users.
  • the time to take out the tableware in the dishwasher is predicted and controlled in advance.
  • the dishwasher turns on the drying function to dry, which is not affected by the phenomenon of moisture return. Users can use dry and odor-free tableware without manually turning on the drying function, which improves the user experience.
  • the historical behavior data includes historical door opening and/or door closing data and historical cleaning data; historical door opening and/or door closing data includes historical door opening and/or door closing moments; the history of the dishwasher within a preset time period is obtained Behavioral data includes: dividing each day in the preset time period into multiple time zones; obtaining the historical opening and/or closing time and historical cleaning data of the dishwasher in each time zone; according to the historical opening and/or closing time in each time zone The door closing time determines the historical number of door openings and/or closings in each time zone.
  • the historical door opening and/or closing data is historical door opening information and/or historical closing information of the dishwasher
  • the historical opening and/or closing time is the historical door opening time node and/or historical door closing time node of the dishwasher.
  • the historical cleaning data is information related to the historical cleaning behavior of the dishwasher, such as historical cleaning time and the like.
  • the preset time period can be in units of days, such as four weeks, and the time zone is a time interval divided according to time, for example, multiple time zones can be obtained by dividing the time interval by one hour or half an hour.
  • the processor can divide each day in the preset time period (for example, four weeks) into multiple time zones, for example, 24 hours a day can be divided into 48 time zones, each time zone has 30 minutes, and the processor can obtain the The historical opening and/or closing time of the dishwasher in each time zone and the historical cleaning data in each time zone.
  • the historical opening and/or closing time can detect the opening and/or closing status of the dishwasher through the door control switch, and obtain the door
  • the information indicating the door opening and/or closing status sent by the control switch forms the historical door opening and/or closing data
  • the historical opening and/or closing data includes the historical opening and/or closing time
  • the processor can open the door according to the history in each time zone and/or door closing time to determine the historical door opening and/or closing times in each time zone, that is, to count the historical door opening and/or closing times in each time zone.
  • dividing each day in the preset time period into multiple time zones may include equal time interval division and/or unequal time interval division, wherein the equal time interval division may specifically be divided into one hour or half an hour as the time interval.
  • Divide each day, and the division of unequal time intervals can specifically divide the time periods when users often use the dishwasher (such as morning, noon, and evening), and divide the time periods when users do not often use the dishwasher (such as night)
  • Coarse division the number of time zones obtained by fine division is greater than the number of time zones obtained by coarse division.
  • FIG. 9 schematically shows a schematic flowchart of the step of predicting the take-out time in an embodiment of the present invention.
  • the take-out time of tableware in the dishwasher is predicted according to historical behavior data , can include the following steps:
  • the processor can correct the historical door opening and/or closing times in each time zone according to the historical door opening and/or closing times in each time zone and the historical cleaning data in each time zone to obtain the corrected door opening corresponding to each time zone times and/or door closing times.
  • the historical cleaning data includes the historical cleaning duration; the corrected door opening and/or closing times corresponding to each time zone are obtained according to the historical cleaning times and/or the historical cleaning data, including: If it is greater than or equal to the preset cleaning time, it is judged that the historical door opening and/or closing data corresponds to the behavior of taking tableware or putting tableware; Multiply the first weight on the basis of the number of door closing times to obtain the corrected door opening and/or door closing times corresponding to each time zone, wherein the first weight is greater than the first preset parameter and is related to the position of the time zone in multiple time zones and the time zone in the preset
  • the number of days in the time cycle is related; in the case that the historical door opening and/or closing data corresponds to the behavior of placing tableware, the second preset parameter is subtracted from the historical door opening and/or closing times to obtain the corrected corresponding time zone. Number of door openings and/or closings.
  • the preset cleaning duration is the preset minimum cleaning duration of the dishwasher, for example, 30 minutes.
  • the behavior of the user takes out the tableware after cleaning, and the behavior of the user to put the tableware occurs before cleaning. Therefore, the behavior of taking out the tableware can be regarded as the behavior of the user taking out the tableware after cleaning, and the behavior of putting the tableware can be regarded as the behavior of the user putting in the tableware before cleaning.
  • the first preset parameter is a preset value, and the specific value can be set according to the actual situation, for example, it can be 1 or 3.
  • the second preset parameter is a preset value, and the specific value can be set according to the actual situation, for example, it can be 1 or 2.
  • the first preset parameter and the second preset parameter may be the same value or different values.
  • the processor can compare the historical cleaning duration with a preset cleaning duration (for example, 30 minutes or 20 minutes), and when judging that the historical cleaning duration is greater than or equal to the preset cleaning duration, the processor can judge that the historical cleaning duration is And/or the door closing data corresponds to the behavior of taking tableware or putting tableware.
  • the processor can count the historical door opening and/or closing times of the time zone before.
  • the 12th time zone The corrected door opening times (or door closing times or door closing and opening times) corresponding to the time zone is the value obtained after multiplying the first weight by 2, wherein the first weight is greater than the first preset parameter (for example, 1) and is more than the same as the time zone.
  • the location in a time zone and the number of days in the preset time period in the time zone are related, that is to say, the first weights corresponding to different days in the preset time period in different time zones will all change.
  • the processor can subtract a second preset parameter (for example, 2) from the previously counted historical door opening and/or door closing times in the time zone, In order to obtain the corrected door opening and/or closing times corresponding to each time zone.
  • a second preset parameter for example, 2
  • the cleaning behavior when the historical cleaning duration is greater than or equal to the preset cleaning duration, it can be judged that the cleaning behavior is a normal cleaning behavior. At this time, it can be judged that the historical door opening and/or closing data of the time zone corresponds to picking up tableware The behavior is still the behavior of putting tableware. If it corresponds to the behavior of taking tableware, the first weight can be added on the basis of the historical opening and/or closing times of the time zone. The first weight is greater than the first preset parameter and is in line with the time zone.
  • Positions in multiple time zones are related to the number of days of the time zone in the preset time period; if it corresponds to the behavior of placing tableware, the second preset parameter can be subtracted from the historical opening and/or closing times of the time zone, the above
  • the scheme modifies the door opening and/or closing times of the time zone according to the type of tableware taking behavior or tableware putting behavior, that is, by setting the first weight or subtracting the second preset parameter, the corrected time zone with different weights can be obtained Number of door openings and/or closings.
  • the corrected door opening and/or closing times corresponding to each time zone are obtained according to the historical door opening and/or closing times and historical cleaning data, which also includes: when the historical cleaning duration is less than the preset cleaning duration Next, add the third preset parameter on the basis of the historical door opening and/or closing times to obtain the corrected door opening and/or closing times corresponding to each time zone.
  • the third preset parameter is a preset value, and the specific value can be set according to the actual situation, for example, it can be 1 or 2.
  • the processor can judge that the cleaning behavior is not a normal cleaning behavior, such as interruption of the cleaning behavior, etc. At this time, the processor can open and/or close the door in the history of the time zone
  • the third preset parameter is added to the number of times to obtain the corrected door opening and/or door closing times corresponding to the time zone.
  • the historical cleaning data includes the historical cleaning start time and the historical cleaning end time; judging that the historical door opening and/or closing data corresponds to the behavior of taking tableware or putting tableware includes: In the case of the historical cleaning end time, determine the historical door opening and/or door closing data corresponding to the behavior of picking tableware; in the case of historical door opening and/or closing time earlier than the historical cleaning start time, determine the historical door opening and/or closing data corresponding to put cutlery behavior.
  • the processor may compare the historical door opening time and/or the historical door closing time with the historical cleaning start time and the historical cleaning end time, and determine if the historical door opening time and/or the historical door closing time are later than the historical cleaning end time.
  • the historical door-opening data and/or the historical door-closing data correspond to the action of picking tableware. When the historical door-opening time and/or the historical door-closing time are earlier than the historical cleaning start time, it is determined that the historical door-opening data and/or the historical door-closing data correspond to put cutlery behavior.
  • the behavior is to take the utensils.
  • judging that the historical door opening and/or closing data corresponds to the behavior of taking tableware or putting tableware includes: determining the time period between the historical door opening and closing time according to the historical door opening and closing time; when the time length is greater than or equal to the first time length threshold In the case of , it is determined that the historical door opening and/or closing data corresponds to the behavior of putting tableware; when the duration is less than the first duration threshold, it is determined that the historical door opening and/or closing data corresponds to the behavior of taking tableware.
  • the first duration threshold is a preset standard time length between the door opening moment and the door closing moment.
  • the processor may calculate the duration between the historical door opening moment and the historical door closing moment according to the historical door opening and closing moments, and compare the duration with the first duration threshold, and when the duration is greater than or equal to the first duration threshold, The processor may determine that the historical door opening and/or door closing data corresponds to the behavior of putting tableware, otherwise it corresponds to the behavior of taking tableware.
  • the time length between the historical door opening time and the historical door closing time can be determined according to the historical door opening time and the historical door closing time, by setting the first time length threshold and comparing the time length with the first time length threshold, usually cleaning
  • the time length of the behavior of taking tableware after cleaning is shorter than the time length of behavior of putting tableware before cleaning, and it can be determined that the time length between opening and closing the door is greater than or equal to the first duration threshold as the behavior of putting tableware, otherwise it is behavior of taking tableware.
  • S904. Determine the door opening and/or closing probability in each time zone according to the corrected door opening and/or closing times.
  • the processor can determine the door opening and/or door closing probability of each time zone according to the corrected door opening and/or door closing times corresponding to each time zone. It can be understood that since the door opening action corresponds to the door closing action, the door opening probability and the door closing probability can be considered to be the same value.
  • determining the door opening and/or door closing probability in each time zone according to the corrected door opening and/or closing times includes: determining the product value of the corrected door opening and/or closing times and the first weight, Wherein, the first weight is greater than the first preset parameter and is related to the position of the time zone among multiple time zones and the number of days of the time zone in the preset time period; the product values of each time zone are summed to obtain the corresponding The sum of times in time zones; summing the sum of times in time zones to obtain the sum of cycle times in all time zones within the preset time period; determining the ratio of the sum of times in time zones to the sum of times in cycles to obtain the door opening and/or door closing probabilities in each time zone.
  • k ij is the first weight of the i-th time zone on the j-th day in the preset time period
  • m i is the corrected door opening and/or closing times corresponding to the i-th time zone
  • P i is the i-th time zone The probability of opening and/or closing the door
  • n is the total number of multiple time zones
  • d is the total number of days in the preset time period.
  • k ij *m i is the product value of the corrected door opening and/or closing times and the first weight
  • the molecular part in the formula (1) represents all the days in each time zone
  • the denominator part is the sum of door opening times and/or door closing times representing all days in all time zones (that is, the sum of cycle times).
  • the determination of the first weight may include determination according to the following formula (2):
  • k ij is the first weight of the i-th time zone on the j-th day in the preset time period
  • n is the total number of multiple time zones.
  • the value of the first weight is greater than 1 (the first preset parameter is 1 at this time), and it is related to the position of the time zone in multiple time zones (i.e. i in the above formula) and the time zone
  • the number of days in the preset time period (that is, j in the above formula) is related, and the numerical value of the first weight k ij increases with the increase of i, and increases with the increase of j, that is to say,
  • the first weight is positively correlated with the position of the time zone among the multiple time zones (ie, i in the above formula) and the number of days of the time zone in the preset time period (ie, j in the above formula).
  • S906 according to the probability of opening and/or closing the door and the preset probability threshold, determine the first time zone from multiple time zones, so as to obtain the take-out time of the tableware in the dishwasher according to the first time zone, wherein the first time zone is the same as that in the dishwasher
  • the removal time of the tableware is related.
  • the preset probability threshold is the preset door opening probability or door closing probability or the probability of opening and closing the door, wherein, since the door opening action corresponds to the door closing action, the door opening probability can be equal to the door closing probability, and the door opening and closing probability can also be It is equivalent to the probability of opening the door and the probability of closing the door.
  • the first time zone is the time zone associated with the time of removal of the dishes from the dishwasher.
  • the processor may compare the door opening probability or door closing probability or the door opening and closing probability with a preset probability threshold, and may filter out the door opening probability or door closing probability or the door opening and closing probability reaching the preset probability threshold, and may select from A first time zone is determined among the plurality of time zones, according to which the time for removing the tableware from the dishwasher can be determined.
  • determining the first time zone from multiple time zones includes: comparing the door opening and/or door closing probability with the preset probability threshold; The time zones whose door opening and/or closing probability are greater than or equal to the preset probability threshold are sorted in descending order according to the door opening and/or closing probability, so as to obtain the first time zone whose first number is less than or equal to the preset number.
  • the preset number is the preset required number of the first time zone.
  • the processor may compare the door opening probability or door closing probability or the door opening and closing probability with a preset probability threshold, and filter out the time zones where the door opening probability or door closing probability or the door opening and closing probability is greater than or equal to the preset probability threshold, and Sort the time zones obtained after screening in descending order from large to small according to the order of probability, and get the first time zone with the preset quantity in the first order, for example, the probability of opening the door or closing the door or the probability of opening and closing the door is greater than or equal to the preset
  • the number of time zones for which the probability threshold is set is 4, but the preset number is 3, then the 3 time zones with the highest probability can be used as the first time zone.
  • the first round of screening is performed to filter out the time zones whose door opening and/or door closing probability is greater than or equal to the preset probability threshold , and then sort the time zones after the first round of screening in descending order according to the order of probability, that is, perform the second round of screening to obtain the first time zones that are less than or equal to the preset number.
  • determining the first time zone from multiple time zones according to the door opening and/or closing probability and the preset probability threshold includes: sorting the time zones in descending order according to the door opening and/or closing probability, To obtain the time zones whose number in the first order is less than or equal to the preset number; compare the door opening and/or door closing probability corresponding to the time zone whose number in the first order is less than or equal to the preset number with the preset probability threshold; remove the door opening and/or Or the time zone whose door closing probability is less than the preset probability threshold to obtain the first time zone.
  • the processor may first sort the time zones in descending order according to the probability of opening the door or the probability of closing the door or the probability of opening and closing the door, to obtain the time zones whose number in the first order is less than or equal to the preset number, and The door opening probability or door closing probability or the door opening and closing probability of the time zone obtained after sorting is compared with the preset probability threshold, and the time zone with the door opening probability or door closing probability or the door opening and closing probability is less than the preset probability threshold is removed, and the first Time zone.
  • the first round of screening by first sorting the door opening and/or closing probabilities of the time zones in descending order according to the order of the probability, that is, the first round of screening is performed to obtain the time zones that meet the preset number, and then the first round of screening
  • the door opening and/or door closing probability of the time zone is compared with the preset probability threshold to obtain the first time zone meeting the preset probability threshold.
  • controlling the dishwasher to start the drying function before the taking-out time includes: controlling the dishwasher to start the drying function at a preset time interval from the taking-out time.
  • the processor may control the dishwasher to start the drying function in advance at a preset time interval (for example, 30 minutes) from the take-out time, so as to perform drying in advance.
  • a preset time interval for example, 30 minutes
  • control method for the dishwasher further includes: acquiring the current humidity inside the dishwasher; determining the drying time of the dishwasher according to the current humidity and the target humidity; controlling the washing machine according to the drying time; Bowl dryer for drying.
  • the processor can obtain the current humidity inside the dishwasher through the humidity detection device, that is, the current humidity of the dishwasher cavity, and determine the drying time of the dishwasher according to the current humidity and the target humidity. Control the dishwasher to dry.
  • the preset time interval may be equal to the drying time, that is, after the drying time is obtained, the processor controls the dishwasher to turn on the drying function when the drying time is long before the time of taking it out. , It can ensure that the tableware taken out by the user as soon as the dishwasher is opened is the tableware that has just been dried.
  • determining the drying duration of the dishwasher according to the current humidity and the target humidity includes determining according to the following formula (3):
  • He is the target humidity
  • H s is the current humidity
  • T is the drying time.
  • FIG. 10 is a schematic flowchart of another dishwasher control method provided by an exemplary embodiment of the present application.
  • the control logic may be as shown in FIG. 10 .
  • 24 hours a day can be divided into 48 time zones, each interval has 30 minutes, count the number of door opening and closing times in each time zone, the length of door opening and closing, and record the time point of the latest cleaning behavior, according to the historical behavior of the dishwasher Data analysis found that the time to pick up the tableware after cleaning is shorter than the time to put the tableware before cleaning At the same time, the behavior before cleaning can be regarded as putting the tableware, and the behavior after cleaning can be regarded as taking the tableware, and then the number of door closing times in each time zone will be counted, and the number of times will be weighted by the function k ij according to the passage of time.
  • the user uses more than After 4 weeks, add up the overall number of tableware picking in each time zone, and then calculate the predicted probability P i of each time point after normalization.
  • the probability of each time zone must be greater than 20% (that is, the preset probability threshold, other parameters can also be used, determined according to the actual situation), and the prediction of less than 20% will be discarded, so the anti-resurgence prediction is not necessarily three times a day, and then According to the user's habit information, a time period is calculated forward, and the drying is carried out in advance.
  • the calculation of the drying time T will automatically match the drying time according to the humidity environment of the user's home, so as to achieve the optimal drying strategy and save energy and electricity.
  • the overall calculation of the forecasting algorithm can be designed as a function of Naive Bayes, see the following formula (1):
  • k ij is the first weight of the i-th time zone on the j-th day in the preset time period
  • m i is the corrected door opening and/or closing times corresponding to the i-th time zone
  • P i is the i-th time zone The probability of opening and/or closing the door
  • n is the total number of multiple time zones (for example, 48)
  • d is the total number of days in the preset time period.
  • the determination of the first weight can adopt the habit weight mechanism, see the following formula (2):
  • kij is the first weight of the i-th time zone on the j-th day in the preset time period
  • n is the total number of multiple time zones (for example, 48).
  • the user drying time matching function is shown in the following formula (3):
  • He is the target humidity
  • H s is the current humidity
  • T is the drying time.
  • the predicted take-out time of the tableware in the dishwasher basically conforms to the user's use time interval, that is, the predicted time interval basically coincides with the user's meal time intervals in the morning, noon and evening.
  • an intelligent anti-moisture algorithm is obtained based on the user's habit of using the dishwasher, that is, an intelligent anti-moisture algorithm is designed based on the user's historical behavior data and through the principle of machine learning time series algorithm.
  • An algorithm for predicting the opening and drying function which is mainly based on learning the user's dishwasher usage behavior in the past preset time period (for example, 4 weeks), mainly including the dishwasher's door opening and closing behavior, function usage behavior, and drying Behavior information, judge the time node when the user often takes out the tableware, and dry the tableware in advance to prevent the tableware from getting wet and improve the user experience.
  • Fig. 11 is a structural block diagram of a dishwasher control provided by an exemplary embodiment of the present application. As shown in Figure 11, the dishwasher 1100 includes:
  • the door control switch 1110 is used to detect the door opening and/or door closing status of the dishwasher, and send information indicating the door opening and/or door closing status, and the information is used to form historical door opening and/or door closing data.
  • the humidity detecting device 1120 is used for detecting the humidity inside the dishwasher.
  • the processor 1130 is configured to execute all or part of the steps in the above method embodiments.
  • FIG 12 is a structural block diagram of a dishwasher control system provided by an exemplary embodiment of the present application.
  • the dishwasher control system may at least include a door control switch 1210, a humidity sensor 1220, a communication module Group 1230, dishwasher electric control 1240 (ie dishwasher controller) and cloud 1250 (ie server).
  • Dishwasher electronic control 1240 can receive the door opening and/or closing status of the dishwasher detected by door control switch 1210, dishwasher electronic control 1240 can also receive the humidity inside the dishwasher detected by humidity sensor 1220, cloud 1250 Stored with a moisture regain prediction algorithm, it can predict the time to take out the tableware in the dishwasher, and send the drying instruction to the dishwasher electronic control 1240 through the communication module 1240, and the dishwasher electronic control 1240 can Activate the drying function of the dishwasher.
  • FIG. 13 provides a schematic structural diagram of a dishwasher control device according to an embodiment of the present application.
  • the above-mentioned dishwasher includes a human body induction module, as shown in FIG. 13 , the dishwasher control device 1300 includes:
  • the first acquisition module 1310 is configured to acquire an active time set within a preset time period; the above-mentioned active time set includes at least one active time; the above-mentioned active time is detected by the above-mentioned human body sensing module in the preset area of the above-mentioned dishwasher time of physical activity;
  • the second obtaining module 1320 is configured to obtain the working time of the above-mentioned dishwasher within the above-mentioned preset time period;
  • a prediction module 1330 configured to predict the user's tableware picking time based on the above-mentioned active time set and the above-mentioned working time;
  • the first control module 1340 is configured to control the above-mentioned dishwasher to perform odor-cleaning treatment at a target time; the above-mentioned target time is a time of a first duration before the above-mentioned tableware picking time.
  • the above-mentioned working time includes the first moment when the above-mentioned dishwasher starts working
  • the above prediction module 1330 includes:
  • a filtering unit configured to filter out the active time in which the above-mentioned active time is concentrated within the second duration before the above-mentioned first moment, to obtain the target active time set;
  • the first prediction unit is configured to predict the user's time to pick up tableware based on the target active time set.
  • the above-mentioned working time also includes the second moment when the above-mentioned dishwasher finishes working;
  • the above-mentioned first prediction unit includes:
  • the dividing subunit is used to divide the above-mentioned target active time set into a first target active time set and a second target active data set based on the above-mentioned second moment;
  • the above-mentioned second target activity data set includes the active time of the above-mentioned target active time that does not appear within the third period of time after the above-mentioned second moment;
  • a determining subunit configured to be based on the first target active time set and the first target weight corresponding to the first target active time set, the second target active time set and the second target weight corresponding to the second target active time set Determine when the user picks up the utensils.
  • the first target weight is greater than the second target weight.
  • the above dishwasher further includes a door assembly
  • the above-mentioned dishwasher control device 1300 also includes:
  • the third obtaining module is used to obtain the opening time of the above-mentioned door assembly within the above-mentioned preset time period;
  • the above prediction module 1330 includes:
  • the second predicting unit is configured to predict the user's tableware picking time based on the active time set, the working time and the opening time.
  • the above-mentioned working time includes the first moment when the above-mentioned dishwasher starts working
  • the above-mentioned second prediction unit includes:
  • the filtering subunit is used to filter out the opening time of the opening time of the above-mentioned door assembly within the fourth period of time before the above-mentioned first moment to obtain the target opening time;
  • the prediction subunit is configured to predict the user's tableware picking time based on the above-mentioned active time set, the above-mentioned working time and the above-mentioned target opening time.
  • the above-mentioned dishwasher control device 1300 further includes:
  • the second control module is configured to control the dishwasher to end the deodorization treatment after the deodorization treatment by the dishwasher reaches a fifth time period; the fifth time period is less than or equal to the first time period.
  • each module in the above-mentioned dishwasher control device is only for illustration. In other embodiments, the dishwasher control device can be divided into different modules according to needs, so as to complete all or part of the above-mentioned dishwasher control device.
  • the implementation of each module in the dishwasher control device provided in the embodiments of this specification may be in the form of a computer program.
  • the computer program can run on a terminal or a server.
  • the program modules constituted by the computer program can be stored in the memory of the terminal or server.
  • the dishwasher 1400 may include: at least one processor 1410 , at least one network interface 1420 , a user interface 1430 , a human body sensing module 1440 , a memory 1450 and at least one communication bus 1460 .
  • the communication bus 1460 is used to realize connection and communication between these components.
  • the network interface 1420 may include but not limited to a Bluetooth low energy module, a near field communication (Near Field Communication, NFC) module, wireless fidelity (Wireless Fidelity, Wi-Fi) module, etc.
  • the user interface 1430 may include a display screen (Display) and a camera (Camera).
  • the user interface 1430 may also include a standard wired interface and a wireless interface.
  • the human body sensing module 1440 is used to sense human body activities occurring in a preset area of the dishwasher 1400 , which may include but not limited to microwave radar sensors, human body infrared sensors, and the like.
  • the aforementioned preset area may be, but not limited to, an area whose distance from the dishwasher 1400 is less than or equal to 0.2 meters, 0.1 meters, and the like.
  • the memory 1450 is used for storing the information input by the user interface 1430 and the information such as the tableware picking time, the target time and the executable program code processed by the processor 1410 .
  • the processor 1410 may include one or more processing cores.
  • the processor 1410 uses various interfaces and lines to connect various parts in the entire dishwasher 1400, by running or executing instructions, programs, code sets or instruction sets stored in the memory 1450, and calling data stored in the memory 1450, Various functions of the dishwasher 1400 are performed and data is processed.
  • the processor 1410 may adopt at least one of a digital signal processing (Digital Signal Processing, DSP), a field-programmable gate array (Field-Programmable Gate Array, FPGA), and a programmable logic array (Programmable Logic Array, PLA). implemented in the form of hardware.
  • DSP Digital Signal Processing
  • FPGA Field-Programmable Gate Array
  • PLA programmable logic array
  • the processor 1410 may integrate one or a combination of a central processing unit (Central Processing Unit, CPU), an image processor (Graphics Processing Unit, GPU), a modem, and the like.
  • CPU Central Processing Unit
  • GPU Graphics Processing Unit
  • the CPU mainly handles the operating system, user interface and application programs, etc.
  • the GPU is used to render and draw the content that needs to be displayed on the display screen
  • the modem is used to handle wireless communication. It can be understood that, the above-mentioned modem may not be integrated into the processor 1410, but may be realized by a single chip.
  • the memory 1450 may include a random access memory (Random Access Memory, RAM), and may also include a read-only memory (Read-Only Memory, ROM).
  • the memory 1450 includes a non-transitory computer-readable storage medium (non-transitory computer-readable storage medium).
  • Memory 1450 may be used to store instructions, programs, codes, sets of codes, or sets of instructions.
  • the memory 1450 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as acquisition function, prediction function, control function, etc.), and instructions for implementing The instructions, etc. of the above method embodiments; the storage data area can store the data, etc. involved in the above method embodiments.
  • the memory 1450 may also be at least one storage device located away from the aforementioned processor 1410 .
  • the memory 1450 as a computer storage medium may include an operating system, a network communication module, a user interface module, and program instructions.
  • the user interface 1430 is mainly used to provide the user with an input interface to obtain the data input by the user; and the processor 1410 can be used to call the program instructions stored in the memory 1450 and specifically execute Do the following:
  • the above-mentioned active time set includes at least one active time; the above-mentioned active time is the time when the above-mentioned human body sensing module 1440 senses that human activities occur in the preset area of the above-mentioned dishwasher; obtain the above-mentioned The working time of the dishwasher within the above-mentioned preset time period; based on the above-mentioned active time set and the above-mentioned working time, predict the time when the user takes the tableware; control the above-mentioned dishwasher to perform deodorization treatment at the target time; The moment of the first duration before the moment.
  • the above-mentioned working time includes the first moment when the above-mentioned dishwasher starts working; when the above-mentioned processor 1410 predicts the user's tableware picking time based on the above-mentioned active time set and the above-mentioned working time, it is specifically used to perform: Filter out the active time in which the above active time is concentrated within the second duration before the above first moment to obtain the target active time set; predict the user's tableware picking time based on the above target active time set.
  • the above-mentioned working time also includes the second moment when the above-mentioned dishwasher finishes working; when the above-mentioned processor 1410 predicts the user's time to pick up tableware based on the above-mentioned target active time set, it is specifically used to perform: based on the above-mentioned At the second moment, the above-mentioned target active time set is divided into a first target active time set and a second target active data set; the above-mentioned first target active time set includes the above-mentioned target active time concentrated within the third time period after the above-mentioned second moment Active time; the above-mentioned second target active time data set includes the active time in the above-mentioned target active time set that does not appear within the third period of time after the above-mentioned second moment; based on the above-mentioned first target active time set and the corresponding first target active time set A target weight, the second target active time set, and the second target weight
  • the above-mentioned first target weight is greater than the above-mentioned second target weight.
  • the above-mentioned dishwasher further includes a door assembly; the above-mentioned processor 1410 executes the Set and the above-mentioned working time before predicting the user’s time to pick up tableware, it is also used to execute: obtain the opening time of the above-mentioned door assembly within the above-mentioned preset time period; When cutlery moment, specifically for executing:
  • the above-mentioned working time includes the first moment when the above-mentioned dishwasher starts working; when the above-mentioned processor 1410 predicts the user's time to pick up tableware based on the above-mentioned active time set, the above-mentioned working time, and the above-mentioned opening time, specifically For execution: filter out the opening time of the opening time of the above-mentioned door assembly within the fourth period of time before the above-mentioned first moment to obtain the target opening time; predict the user's take-off time based on the above-mentioned active time set, the above-mentioned working time, and the above-mentioned target opening time Cutlery moment.
  • the processor 1410 controls the dishwasher to perform the deodorization treatment, it is further configured to perform: after the dishwasher performs the deodorization treatment for a fifth duration, control the dishwashing process.
  • the machine ends the deodorization treatment; the above-mentioned fifth duration is less than or equal to the above-mentioned first duration.
  • the embodiment of the present application also provides a computer storage medium, where instructions are stored in the computer storage medium, and when it is run on a computer or a processor, the computer or processor executes one or more steps in any one of the above methods . If each component module of the above-mentioned dishwasher control device is realized in the form of a software function unit and sold or used as an independent product, it can be stored in the storage medium.
  • all or part of them may be implemented by software, hardware, firmware or any combination thereof.
  • software When implemented using software, it may be implemented in whole or in part in the form of a computer program product.
  • the computer program product includes one or more computer instructions.
  • the computer can be a general purpose computer, a special purpose computer, a computer network, or other programmable devices.
  • the computer instructions may be stored in or transmitted via a computer-readable storage medium.
  • the computer instructions can be transmitted from a website site, computer, server or data center to Another website site, computer, server or data center for transmission.
  • the computer-readable storage medium may be any available medium that can be accessed by a computer, or a data storage device such as a server or a data center integrated with one or more available media.
  • the available medium may be a magnetic medium (for example, a floppy disk, a hard disk, a magnetic tape), an optical medium (for example, a digital versatile disc (Digital Versatile Disc, DVD)), or a semiconductor medium (for example, a solid state disk (solid state disk, SSD)) etc.
  • the program can be stored in a computer-readable storage medium.
  • the aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk, and other various media that can store program codes.

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  • Washing And Drying Of Tableware (AREA)

Abstract

一种洗碗机控制方法、装置、洗碗机及计算机存储介质。该方法包括：获取预设时间段内的活跃时间集（S201）以及洗碗机的工作时间（S202），活跃时间集包括至少一个活跃时间，活跃时间为洗碗机的人体感应模块感应到在洗碗机的预设区域内出现人体活动的时间；基于活跃时间集以及工作时间预测用户的取餐具时刻（S203）；在目标时刻控制洗碗机进行净味处理，目标时刻为取餐具时刻之前第一时长的时刻（S204）。本方案通过根据洗碗机的工作时间以及用户在洗碗机附近活动时的活跃时间共同预测用户的取餐具时刻，实现在用户取餐具之前，自动控制洗碗机进行净味处理，清除洗碗机清洗完餐具后因放置时间太久而产生的异味，降低洗碗机使用的复杂性，提升用户体验。

Description

洗碗机控制方法、装置、洗碗机及计算机存储介质
相关申请
本申请分别要求于2022年1月26日申请的申请号为202210094276.5，名称为“用于洗碗机的控制方法、处理器、洗碗机及存储介质”，于2022年10月12日申请的，申请号为202211245183.4，名称为“洗碗机控制方法、装置、洗碗机及计算机存储介质”的中国专利申请的优先权，在此以引用形式将其全文并入。
技术领域
本申请涉及家用控制技术领域，尤其涉及一种洗碗机控制方法、装置、洗碗机及计算机存储介质。
背景技术
随着人们生活水平的提高，洗碗机逐渐进入到各个家庭之中。但是洗碗机在清洗完餐具之后，往往会因为放置时间太久而产生异味，这就会导致用户在取餐具的过程中产生不好的体验。
发明内容
本申请实施例提供了一种洗碗机控制方法、装置、洗碗机及计算机存储介质，通过根据洗碗机的工作时间以及用户的活跃时间共同确定用户的取餐具时刻，在用户取餐具之前，能够自动开启净味处理，清除异味，提升用户体验。所述技术方案如下：
第一方面，本申请实施例提供了一种洗碗机控制方法，上述洗碗机包括人体感应模块；上述方法包括：获取预设时间段内的活跃时间集，活跃时间集包括至少一个活跃时间，述活跃时间为人体感应模块感应到在洗碗机的预设区域内出现人体活动的时间；获取洗碗机在预设时间段内的工作时间；基于活跃时间集以及工作时间预测用户的取餐具时刻；在目标时刻控制洗碗机进行净味处理，目标时刻为取餐具时刻之前第一时长的时刻。
第二方面，本申请实施例提供了另一种洗碗机控制方法，上述方法包括：获取洗碗机在预设时间周期内的历史行为数据；根据历史行为数据预测洗碗机中的餐具的取出时刻；在取出时刻之前控制洗碗机开启烘干功能。
第三方面，本申请实施例提供了一种洗碗机控制装置，洗碗机包括人体感应模块；洗碗机控制装置包括：第一获取模块，用于获取预设时间段内的活跃时间集；活跃时间集包括至少一个活跃时间；活跃时间为人体感应模块感应到在洗碗机的预设区域内出现人体活动的时间；第二获取模块，用于获取洗碗机在预设时间段内的工作时间；预测模块，用于基于活跃时间集以及工作时间预测用户的取餐具时刻；第一控制模块，用于在目标时刻控制洗碗机进行净味处理；目标时刻为取餐具时刻之前第一时长的时刻。
第四方面，本申请实施例提供了另一种洗碗机控制装置，包括：第四获取模块，用于获取洗碗机在预设时间周期内的历史行为数据；预测模块，用于根据所述历史行为数据预测所述洗碗机中的餐具的取出时刻；第三控制模块，用于在所述取出时刻之前控制所述洗碗机开启烘干功能。
第五方面，本申请实施例提供了一种洗碗机，包括：处理器以及存储器；
上述处理器与上述存储器相连；上述存储器，用于存储可执行程序代码；上述处理器通过读取上述存储器中存储的可执行程序代码来运行与上述可执行程序代码对应的程序，以用于执行本说明书实施例第一方面或第一方面的任意一种可能的实现方式或第二方面或第二方面的任意一种可能的实现方式提供的方法。
第六方面，本申请实施例提供了另一种洗碗机，包括：门控开关，用于检测洗碗机的开门和/或关门状态，并发送指示开门和/或关门状态的信息，信息用于形成历史开门和/或关门数据；湿度检测设备，用于检测所述洗碗机内部的湿度；以及处理器，用于执行本说明书实施例第二方面或第 二方面的任意一种可能的实现方式提供的方法。
第七方面，本申请实施例提供了一种计算机存储介质，上述计算机存储介质存储有多条指令，上述指令适于由处理器加载并执行本申请实施例第一方面或第一方面的任意一种可能的实现方式或第二方面或第二方面的任意一种可能的实现方式提供的方法步骤。
本申请一些实施例提供的技术方案带来的有益效果至少包括：
在本申请一个或多个实施例中，通过获取预设时间段内的活跃时间集以及洗碗机在预设时间段内的工作时间，活跃时间集包括至少一个活跃时间，活跃时间为人体感应模块感应到在洗碗机的预设区域内出现人体活动的时间，并基于活跃时间集以及工作时间预测用户的取餐具时刻，然后在目标时刻控制洗碗机进行净味处理，目标时刻为取餐具时刻之前第一时长的时刻，根据洗碗机的工作时间以及用户在洗碗机附近活动时的活跃时间共同预测用户的取餐具时刻，降低洗碗机使用的复杂性，实现在用户取餐具之前，自动控制洗碗机进行净味处理，清除洗碗机清洗完餐具后因放置时间太久而产生的异味，提升用户体验。
上述说明仅是本申请技术方案的概述，为了能够更清楚了解本申请的技术手段而可依照说明书的内容予以实施，并且为了让本发明的上述和其它目的、特征和优点能够更明显易懂，以下特举本发明的具体实施方式。
附图说明
为了更清楚地说明本申请实施例中的技术方案，下面将对实施例中所需使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1为本申请一示例性实施例提供的一种洗碗机控制系统的架构示意图；
图2为本申请一示例性实施例提供的一种洗碗机控制方法的流程示意图；
图3为本申请一示例性实施例提供的一种预测用户取餐具时刻的实现过程示意图；
图4为本申请一示例性实施例提供的另一种预测用户取餐具时刻的实现过程示意图；
图5为本申请一示例性实施例提供的一种预设时间段内的活跃时间集以及工作时间的示意图；
图6为本申请一示例性实施例提供的另一种洗碗机控制方法的流程示意图；
图7为本申请一示例性实施例提供的另一种洗碗机控制方法的流程示意图；
图8为本申请一示例性实施例提供的另一种洗碗机控制方法的流程示意图；
图9为本申请一示例性实施例提供的一种预测取出时刻步骤的的流程示意图；
图10为本申请一示例性实施例提供的另一种洗碗机控制方法的流程示意图；
图11为本申请一示例性实施例提供的一种洗碗机控制的结构框图；
图12为本申请一示例性实施例提供的一种洗碗机控制系统的结构框图；
图13为本申请一示例性实施例提供的另一种洗碗机控制装置的结构示意图；
图14为本申请一示例性实施例提供的一种洗碗机的结构示意图。
具体实施方式
为使得本申请的特征和优点能够更加的明显和易懂，下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本申请一部分实施例，而非全部实施例。基于本申请中的实施例，本领域技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
本申请的说明书和权利要求书及上述附图中的术语“第一”、“第二”、“第三”等是用于区别不同对象，而不是用于描述特定顺序。此外，术语“包括”和“具有”以及它们任何变形，意图在于覆盖不排他的包含。例如包含了一系列步骤或单元的过程、方法、系统、产品或设备没有限定于已列出的步骤或单元，而是可选地还包括没有列出的步骤或单元，或可选地还包括对于这些过程、方法、产品或设备固有的其他步骤或单元。
洗碗机在清洗完餐具之后，往往会因为放置时间太久而产生异味，这就会导致用户在取餐具的 过程中产生不好的体验。在相关洗碗机控制技术中，往往需要用户手动控制洗碗机进行净味处理，或者通过终端上与洗碗机相关联的应用程序(Application，APP)来定时控制洗碗机进行净味处理。但是，洗碗机进行净味处理的过程也需要一定的时间，当用户想要取餐具时，如果还需要其手动控制洗碗机进行净味处理后才能确保能够在一个较好的环境下取餐具的话，将会导致用户并不能立即取餐具，增加了用户使用洗碗机时的复杂性；同时，大部分用户往往很容易忘记或者根本不会通过终端上与洗碗机相关联的APP来定时控制洗碗机进行净味处理，这就会导致用户在取餐具时，能够闻到洗碗机清洗完餐具后因放置时间太久而产生的异味，使得用户在取洗碗机中的餐具的过程中产生不好的体验。
基于此，本申请实施例提出了一种洗碗机控制方法，能够根据洗碗机的工作时间以及用户在洗碗机附近活动时的活跃时间预测用户的取餐具时刻，降低洗碗机使用的复杂性，实现在用户取餐具之前，自动控制洗碗机进行净味处理，清除洗碗机清洗完餐具后因放置时间太久而产生的异味，提升用户体验。
接下来请参考图1，图1为本申请一示例性实施例提供的一种洗碗机控制系统的架构示意图。如图1所示，洗碗机控制系统可以包括：洗碗机和服务器。其中：
洗碗机可以是能够自动清洗碗、筷、盘、碟、刀、叉等餐具的设备。洗碗机上可以包括但不限于安装有人体感应模块、控制板以及净味模块等。上述人体感应模块用于感应到在洗碗机的预设区域内出现的人体活动，可以但不限于包括微波雷达传感器、人体红外传感器等。上述预设区域可以但不限于是与洗碗机的距离小于或等于0.4米、0.2米的区域等。上述控制板与上述人体感应模块以及上述净味模块相连，用于获取预设时间段内人体感应模块感应到在洗碗机的预设区域内出现人体活动的时间，即活跃时间集，并统计(获取)洗碗机在预设时间段内的工作时间，然后根据活跃时间集以及工作时间预测用户的取餐具时刻，最后在目标时刻即取餐具时刻之前第一时长的时刻打开洗碗机的净味模块，即控制洗碗机进行净味处理。可选地，洗碗机可以建立与网络之间的数据关系，并通过该网络和服务器建立数据连接关系，例如发送预设时间段内的活跃时间集以及洗碗机的工作时间等。
服务器可以是能够提供多种洗碗机控制的服务器，可以通过网络从获取到预设时间段内洗碗机的人体感应模块感应到在洗碗机的预设区域内出现人体活动的时间，即活跃时间集，以及获取洗碗机在预设时间段内的工作时间，然后根据活跃时间集以及工作时间预测用户的取餐具时刻，最后在目标时刻即取餐具时刻之前第一时长的时刻，向洗碗机发送净味指令，以控制洗碗机的控制板打开洗碗机的净味模块，即控制洗碗机进行净味处理。上述服务器可以但不限于是硬件服务器、虚拟服务器、云服务器等。
网络可以是在洗碗机与服务器之间提供通信链路的介质，也可以是包含网络设备和传输介质的互联网，不限于此。传输介质可以是有线链路，例如但不限于，同轴电缆、光纤和数字用户线路(digital subscriber line，DSL)等，或无线链路，例如但不限于，无线上网(wireless fidelity，WIFI)、蓝牙和移动设备网络等。
可以理解地，图1所示的洗碗机控制系统中洗碗机和服务器的数目仅作为示例，在具体实现中，该洗碗机控制系统中可以包含任意数目的洗碗机和服务器。本申请实施例对此不作具体限定。例如但不限于，服务器可以是多个服务器组成的服务器集群。
接下来结合图1，介绍本申请实施例提供的洗碗机控制方法。具体请参考图2，其为本申请一示例性实施例提供的一种洗碗机控制方法的流程示意图。如图2所示，该洗碗机控制方法包括以下几个步骤：
S201，获取预设时间段内的活跃时间集。
具体地，当洗碗机安装完成后，可以通过洗碗机上安装的人体感应模块获取预设时间段内的活跃时间集。上述活跃时间集包括至少一个活跃时间，活跃时间为人体感应模块感应到在洗碗机的预设区域内出现人体活动的时间。上述预设时间段可以但不限于是3天、一周或一个月等，本申请实 施例对此不作限定。上述预设区域可以但不限于是与洗碗机的距离小于或等于0.4米、0.2米的区域等。
可以理解地，当用户在洗碗机的附近(预设区域内)活动时，说明用户很有可能想要取洗碗机中的餐具，可以根据预设时间段内的活跃时间集来预测用户的取餐具时刻。
S202，获取洗碗机在预设时间段内的工作时间。
具体地，当洗碗机安装完成后，除了会获取预设时间段内的活跃时间集之外，还会获取洗碗机在预设时间段内的工作时间。上述工作时间可以但不限于包括洗碗机开始工作的第一时刻、洗碗机结束工作的第二时刻等。
可以理解地，预设时间段内洗碗机开始洗碗工作的第一时刻或洗碗机结束工作的第二时刻可以有一个或多个，具体与用户在预设时间段内实际使用洗碗机洗碗的次数相对应。
S203，基于活跃时间集以及工作时间预测用户的取餐具时刻。
可选地，上述预设时间段包括N个周期。上述取餐具时刻用于表征用户在单个周期内可能会取餐具的时刻。上述N为大于1的正整数。上述周期也可以为天、周、月等，本申请实施例对此不作限定。
示例性地，若获取7天(7个周期)内的活跃时间集以及洗碗机在这7天内的工作时间，则可以根据这7天内的活跃时间集以及工作时间预测用户以后每天的取餐具时刻。
进一步地，上述工作时间可以包括洗碗机在预设时间段内的工作时间段。在获取到预设时间段内的活跃时间集以及洗碗机的工作时间之后，可以直接根据在洗碗机的工作时间段之外的活跃时间预测用户的取餐具时刻；上述取餐具时刻可以但不限于为预设时间段内的活跃时间集中在洗碗机的工作时间段之外的数量最多的活跃时间。
示例性地，若7天(7个周期)内的活跃时间集中包括第一天的12点、第二天的12点、第三天的12点、第四天的12点、第五天的12点以及第六天和第七天的14点，7天(7个周期)内洗碗机的工作时间段为第三天的11点到13点、第六天的13点到15点，可以知道这7天内在洗碗机的工作时间段之外的活跃时间中，数量最多的活跃时间为12点，一共有4个，则可以预测用户很有可能会在每天的12点取餐具，即可以将取餐具时刻确定为12点。
可以理解地，上述取餐具时刻可以包括一个或多个，上述多个取餐具时刻可以分别为不同周期或不同预设时间段对应的取餐具时刻，例如但不限于可以基于周一至周五(工作日)这5天的活跃时间集以及工作时间预测用户在以后每个工作日的取餐具时刻，以及基于多个周末的活跃时间集以及工作时间预测用户在每个周末的取餐具时刻等。
可选地，上述预设时间段包括N个周期，每个周期包括M个连续的时长相等的时间段。由于实际情况下，用户在各个周期内的活跃时间或取餐具时刻很有可能并不相同，例如用户今天12点出现在洗碗机的预设区域内活动，可能明天12点过5分才会出现在洗碗机的预设区域内活动等情况，因此，为了确保洗碗机控制的准确性，进一步保障能够在用户取餐具之前就控制洗碗机进行净味处理，上述取餐具时刻可以用于表征上述M个时间段中用户可能会取餐具的至少一个时间段的起始时刻。上述N、M均为大于1的正整数。上述周期也可以为天、周、月等，本申请实施例对此不作限定。当上述周期为天时，上述M个时间段中每个时间段对应的时长可以为1个时、30分钟等，本申请实施例对此不作限定。
可选地，上述工作时间包括洗碗机开始工作的第一时刻。由于在洗碗机开始工作的第一时刻之前的一段时间内出现的活跃时间很有可能是用户在放需要清洗的餐具时的活跃时间，而不是在洗碗机清洗完餐具后用户取餐具时的活跃时间，为了避免用户放餐具时所产生的活跃时间对取餐具时刻预测准确率的影响，上述S203中基于活跃时间集以及工作时间预测用户的取餐具时刻的实现过程可以如图3所示：在获取到预设时间段内的活跃时间集以及工作时间后，可以先判断活跃时间集中的活跃时间是否在开始工作的第一时刻之前第二时长内，若活跃时间集中存在在第一时刻之前第二时长内的活跃时间，则滤除掉活跃时间集中的该活跃时间，得到活跃时间均不在第一时刻之前第二时长内的目标活跃时间集。上述第二时长可以为30分钟、1个小时等，本申请实施例对此不作限定。然后，可以直接基于目标活跃时间集预测用户的取餐具时刻，通过用户更有可能取餐具时的目 标活跃时间集得到更为准确的取餐具时刻，实现更加精准地控制洗碗机进行净味处理。
进一步地，上述工作时间还包括洗碗机结束工作的第二时刻。若在洗碗机结束工作的第二时刻之后的一段时间内出现用户在洗碗机的预设区域内活动，则该用户很有可能需要取餐具，即洗碗机结束工作的第二时刻之后的一段时间内出现的活跃时间比其它时间内的活跃时间是用户在取餐具时的活跃时间的可能性更大，因此，为了进一步确保预测的取餐具时间的准确性，上述S203中基于活跃时间集以及工作时间预测用户的取餐具时刻的实现过程还可以如图4所示，即在滤除在第一时刻之前第二时长内的活跃时间，得到目标活跃时间集之后，上述基于目标活跃时间集预测用户的取餐具时刻的实现过程可以是：先基于第二时刻将目标活跃时间集划分为第一目标活跃时间集和第二目标活跃数据集，然后再基于第一目标活跃时间集以及第一目标活跃时间集对应的第一目标权重、第二目标活跃时间集以及第二目标活跃时间集对应的第二目标权重确定用户的取餐具时刻。
上述第一目标活跃时间集包括目标活跃时间集中在第二时刻之后第三时长内出现的活跃时间，第二目标活跃数据集包括目标活跃时间集中不在第二时刻之后第三时长内出现的活跃时间。相当于可以先判断目标活跃时间集中的活跃时间是否在洗碗机结束工作的第二时刻之后第三时长内，并将目标活跃时间集中所有在第二时刻之后第三时长内活跃时间划分为第一目标活跃时间集，所有不在第二时刻之后第三时长内活跃时间划分为第二目标活跃时间集，然后再将第一目标活跃时间集与对应的第一目标权重进行加权，以及将第二目标活跃时间集与对应的第二目标权重进行加权，最后通过加权后的第一目标活跃时间集以及第二目标活跃时间集共同预测取餐具时刻。上述取餐具时刻可以为上述M个时间段中对应N个周期内在该时间段的各活跃时间的权重之和最高的至少一个时间段的起始时刻。上述第一目标权重大于上述第二目标权重，由于在第二时刻之后第三时长内的第一目标活跃时间集中的活跃时间为用户取餐具时对应的活跃时间的可能性比较大，因此，可以为第一目标活跃时间集设置一个较高的权重，使其在预测取餐具时刻的过程中占据更重要的地位，确保预测的取餐具时刻的准确性，进一步提高洗碗机控制的准确性和有效性。
可以理解地，上述第三时长可以等于第二时长，也可以大于或小于第二时长，本申请实施例对此不作限定。
示例性地，可以将每天划分为12个连续的时间段，每个时间段对应的时长为2小时，在获取到如图5所示的7天内(预设时间段)的活跃时间集以及工作时间(开始工作的第一时刻以及结束工作的第二时刻)之后，可以先滤除掉这7天中在第一时刻之前2个小时(第二时长)内的活跃时间510，得到目标活跃时间集，然后再将目标活跃时间集划分为由第二时刻之后2个小时(第三时长)内的活跃时间520组成的第一目标活跃时间集，以及由其它不在第二时刻之后2个小时(第三时长)内的活跃时间530组成的第二目标活跃时间集。若第一目标权重为1.5，第二目标权重为1，则可以基于上述第一目标活跃时间集以及第二目标活跃时间集将这7天内各时间段对应的活跃时间加权求和得到，6点到8点对应的活跃时间权重之和为5，8点到10点对应的活跃时间权重之和为1，10点到12点对应的活跃时间权重之和为0，14点到16点对应的活跃时间权重之和为7.5，16点到18点对应的活跃时间权重之和为2，其余时间段对应的活跃时间权重之和均为0，则可以认为用户每天在14点到16点这一时间段内取餐具的可能性最大，可以确定取餐具时刻为14点，并在每天的14点之前第一时长(例如但不限于30分钟、20分钟等)的时刻控制洗碗机进行净味处理，尽可能确保能够在用户取餐具之前已清除完洗碗机内的异味。
在S203，基于活跃时间集以及工作时间预测用户的取餐具时刻之后，如图2所示，上述洗碗机控制方法还包括：
S204，在目标时刻控制洗碗机进行净味处理，目标时刻为取餐具时刻之前第一时长的时刻。
具体地，由于净味处理需要一定的时间才能清除完洗碗机内的异味，为了确保用户在取餐具时洗碗机内的异味已全部被清除，可以在每当达到预测的取餐具时刻之前第一时长的时刻即目标时刻，就开始控制洗碗机进行净味处理。
可选地，由于洗碗机一般具备保管功能,也就是在没有洗碗的时候,洗碗机会开启内部的热风干燥,冷风循环功能达到杀菌的效果，当洗碗机的保管功能未开启时，若控制洗碗机打开净味模块就不能达到净味效果，因此，为了避免无效净味处理所导致的洗碗机功耗的浪费，可以在控制洗碗机 进行净味处理之前，先确认洗碗机的保管功能是否已开启，若已开启，则控制洗碗机进行净味处理，若没有开启，则可以提示用户开启保管功能。
本申请实施例中，通过获取预设时间段内的活跃时间集以及洗碗机在预设时间段内的工作时间，活跃时间集包括至少一个活跃时间，活跃时间为人体感应模块感应到在洗碗机的预设区域内出现人体活动的时间，并基于活跃时间集以及工作时间预测用户的取餐具时刻，然后在目标时刻控制洗碗机进行净味处理，目标时刻为取餐具时刻之前第一时长的时刻，根据洗碗机的工作时间以及用户在洗碗机附近活动时的活跃时间共同预测用户的取餐具时刻，实现在用户取餐具之前，自动控制洗碗机进行净味处理，清除洗碗机清洗完餐具后因放置时间太久而产生的异味，降低洗碗机使用的复杂性，提升用户体验。
接下来请参考图6，其为本申请一示例性实施例提供的另一种洗碗机控制方法的流程示意图。如图6所示，该洗碗机控制方法包括以下几个步骤：
S601，获取预设时间段内的活跃时间集。
具体地，S601与S201一致，此处不再赘述。
S602，获取洗碗机在预设时间段内的工作时间。
具体地，S602与S202一致，此处不再赘述。
S603，获取预设时间段内洗碗机门组件的开启时间。
具体地，当洗碗机安装完成后，除了会获取预设时间段内的活跃时间集以及洗碗机的工作时间之外，还会获取洗碗机预设时间段内洗碗机门组件的开启时间。
可以理解地，上述洗碗机门组件的开启时间可能为用户放餐具的时间，也可能为用户取餐具的时间。
S604，基于活跃时间集、工作时间以及开启时间预测用户的取餐具时刻。
具体地，可以基于工作时间为活跃时间集中的各活跃时间以及各开启时间设定对应的权重，然后按照上述S203中类似的方式预测用户的取餐具时刻，此处不再赘述。
由于洗碗机门组件开启时比感应到洗碗机预设区域内出现人体活动时，用户会取餐具的可能性更大，但是在短时间内，用户取餐具数据即洗碗机门组件的开启时间较少，为了让用户既能够快速使用到这个功能，又确保预测的取餐具时间的准确性，可以利用预设时间段内的活跃时间集来增加数据链，并结合工作时间通过权重更高的开启时间来共同预测用户的取餐具时刻，使得洗碗机的控制更加精准有效。
进一步地，上述工作时间包括洗碗机开始工作的第一时刻。为了避免用户放餐具时产生的门组件的开启时间对预测取餐具时刻的影响，提高控制洗碗机进行净味处理的有效性，上述S604，基于活跃时间集、工作时间以及开启时间预测用户的取餐具时刻可以是先滤除门组件的开启时间中在第一时刻之前第四时长内的开启时间，得到目标开启时间，然后再基于活跃时间集、工作时间以及目标开启时间预测用户的取餐具时刻。上述第四时长可以但不限于为30分钟、20分钟等。上述预测过程与图4所示的过程类似，即最后可以基于活跃时间集中的第一目标活跃时间集以及对应的第一目标权重、第二目标活跃时间集以及对应的第二目标权重，目标开启时间以及对应的第三目标权重共同预测用户的取餐具时刻。上述第三目标权重大于上述第一目标权重，上述第一目标权重大于上述第二目标权重。
S605，在目标时刻控制洗碗机进行净味处理，目标时刻为取餐具时刻之前第一时长的时刻。
具体地，S605与S204一致，此处不再赘述。
本申请实施例中，通过获取预设时间段内的活跃时间集、洗碗机在预设时间段内的工作时间以及门组件的开启时间，活跃时间集包括至少一个活跃时间，活跃时间为人体感应模块感应到在洗碗机的预设区域内出现人体活动的时间，并基于活跃时间集、工作时间以及门组件的开启时间预测用户的取餐具时刻，然后在目标时刻控制洗碗机进行净味处理，目标时刻为取餐具时刻之前第一时长的时刻，既通过预设时间段内的活跃时间集来增加数据链，使用户能够快速体验到洗碗机自动净味处理的这个功能，又通过结合门组件的开启时间确保预测的取餐具时刻的准确性，使得洗碗机的控 制更加精准有效，实现在用户取餐具之前，自动控制洗碗机进行净味处理，清除洗碗机清洗完餐具后因放置时间太久而产生的异味，降低洗碗机使用的复杂性，进一步提升用户体验。
接下来请参考图7，其为本申请一示例性实施例提供的另一种洗碗机控制方法的流程示意图。如图7所示，该洗碗机控制方法包括以下几个步骤：
S701，获取预设时间段内的活跃时间集。
具体地，S701与S201一致，此处不再赘述。
S702，获取洗碗机在预设时间段内的工作时间。
具体地，S702与S202一致，此处不再赘述。
S703，基于活跃时间集以及工作时间预测用户的取餐具时刻。
具体地，S703与S203一致，此处不再赘述。
S704，在目标时刻控制洗碗机进行净味处理，目标时刻为取餐具时刻之前第一时长的时刻。
具体地，S704与S204一致，此处不再赘述。
S705，判断洗碗机进行净味处理的时长是否达到第五时长。
具体地，在目标时刻控制洗碗机进行净味处理之后，还可以进一步判断洗碗机进行净味处理的时长是否达到第五时长。上述第五时长可以为20分钟、25分钟等，具体可以根据实际情况进行设定，本申请实施例对此不作限定。
S706，控制洗碗机继续进行净味处理。
具体地，若洗碗机进行净味处理的时长未达到第五时长，说明洗碗机内部的异味并未完全清除，则会控制洗碗机继续进行净味处理。
S707，在洗碗机进行净味处理的时长达到第五时长后，控制洗碗机结束净味处理，第五时长小于或等于第一时长。
具体地，若洗碗机进行净味处理的时长达到第五时长，说明洗碗机内部的异味已完全清除，则可以控制洗碗机结束净味处理，即关闭净味模块。为了能够确保用户取餐具时洗碗机内的异味已完全被清除，洗碗机进行净味处理的第五时长应小于第一时长，即实现在用户取餐具之前，自动控制洗碗机完成净味处理操作，完全清除洗碗机清洗完餐具后因放置时间太久而产生的异味，降低洗碗机使用的复杂性，进一步提升用户体验。
可选地，除了可以按照上述S203中基于活跃时间集以及工作时间预测用户的取餐具时刻，或者按照S604中基于活跃时间集、工作时间以及开启时间预测用户的取餐具时刻之外，还可以直接基于预设时间段内的工作时间和洗碗机门组件的开启时间或者直接根据预设时间段内洗碗机门组件的开启时间预测用户的取餐具时刻，本申请对此不作限定。
接下来请参考图8，其为本申请一示例性实施例提供的另一种洗碗机控制方法的流程示意图。如图8所示，以该方法应用于洗碗机的处理器为例进行说明，该洗碗机控制方法可以包括：
S802，获取洗碗机在预设时间周期内的历史行为数据。
可以理解，历史行为数据为洗碗机的历史使用行为信息，例如可以包括功能使用行为信息。预设时间周期为预先设置的时间周期，例如一个月或四周。
具体地，处理器可以获取洗碗机在预设时间周期(例如，四周)内的历史行为数据。
S804，根据历史行为数据预测洗碗机中的餐具的取出时刻。
可以理解，洗碗机中的餐具的取出时刻即用户取出餐具的时间节点。
具体地，处理器可以根据预设时间周期内的历史行为数据，学习在过去的预设时间周期(例如，四周)内洗碗机的使用行为，洗碗机的使用行为可以包括洗碗机的开门或关门行为、功能使用行为以及烘干行为等信息，预测洗碗机中的餐具的取出时刻，即判断用户经常取出餐具的时间节点。进一步地，处理器可以通过相应的预测算法模型学习在过去的预设时间周期(例如，四周)内洗碗机的使用行为。
S806，在取出时刻之前控制洗碗机开启烘干功能。
具体地，处理器在预测得到洗碗机中的餐具的取出时刻之后，可以控制洗碗机在该取出时刻之前开启烘干功能，即在用户取餐具之前提前进行烘干，防止用户打开洗碗机拿到的餐具是潮湿布满水珠的餐具，提升用户体验。
上述用于洗碗机的控制方法，通过获取洗碗机在预设时间周期内的历史行为数据，根据历史行为数据预测洗碗机中的餐具的取出时刻，在取出时刻之前控制洗碗机开启烘干功能。上述技术方案解决了现有的洗碗机存在用户依赖程度较大的问题，大大减少了对用户的依赖程度，根据洗碗机的历史行为数据预测洗碗机中的餐具的取出时刻，提前控制洗碗机开启烘干功能以进行烘干，不受返潮现象的影响，用户无需手动开启烘干功能即可使用干燥无异味的餐具，提高了用户的使用体验。
在一个实施例中，历史行为数据包括历史开门和/或关门数据和历史清洗数据；历史开门和/或关门数据包括历史开门和/或关门时刻；获取洗碗机在预设时间周期内的历史行为数据包括：将预设时间周期中的每一天划分成多个时区；获取洗碗机在各时区内的历史开门和/或关门时刻和历史清洗数据；根据各时区内的历史开门和/或关门时刻确定各时区内的历史开门和/或关门次数。
可以理解，历史开门和/或关门数据即洗碗机的历史开门信息和/或历史关门信息，历史开门和/或关门时刻为洗碗机的历史开门时间节点和/或历史关门时间节点。历史清洗数据为洗碗机的历史清洗行为的相关信息，例如历史清洗时间等。预设时间周期可以以天为单位，例如四周，时区为根据时间划分的时间区间，例如可以以一个小时或半个小时为时间间隔进行划分得到多个时区。
具体地，处理器可以将预设时间周期(例如四周)中的每一天划分成多个时区，例如可以将一天24个小时划分成48个时区，每个时区有30分钟，处理器可以获取洗碗机在各时区内的历史开门和/或关门时刻和各时区内的历史清洗数据，历史开门和/或关门时刻可以通过门控开关检测洗碗机的开门和/或关门状态，并获取门控开关发送的指示开门和/或关门状态的信息，形成历史开门和/或关门数据，该历史开门和/或关门数据包括历史开门和/或关门时刻，处理器可以根据各个时区内的历史开门和/或关门时刻确定各个时区内的历史开门和/或关门次数，即统计每个时区中的历史开门和/或关门次数。值得注意的是，由于用户通常开启洗碗机的门之后便会关上洗碗机的门，即洗碗机的开门动作和关门动作是相互对应的，因此，历史开门次数与历史关门次数可以认为是相同的数值。
进一步地，将预设时间周期中的每一天划分成多个时区可以包括相等时间间隔划分和/或不相等时间间隔划分，其中相等时间间隔划分具体可以以一个小时或半个小时为时间间隔对每一天进行划分，不相等时间间隔划分具体可以将用户经常使用洗碗机的时间段(例如早上、中午以及晚上)进行精细划分，对用户不经常使用洗碗机的时间段(例如夜晚)进行粗划分，精细划分得到的时区数量大于粗划分得到的时区数量。
在一种可能的实施例中，图9示意性示出了本发明一实施例中预测取出时刻步骤的流程示意图，如图9所示，根据历史行为数据预测洗碗机中的餐具的取出时刻，可以包括以下步骤：
S902，根据历史开门和/或关门次数和历史清洗数据得到各时区对应的修正后的开门和/或关门次数。
具体地，处理器可以根据各个时区内的历史开门和/或关门次数和各个时区内的历史清洗数据对各个时区内的历史开门和/或关门次数进行修正，得到各时区对应的修正后的开门次数和/或关门次数。
在一种可能的实施例中，历史清洗数据包括历史清洗时长；根据历史开门和/或关门次数和历史清洗数据得到各时区对应的修正后的开门和/或关门次数，包括：在历史清洗时长大于或等于预设清洗时长的情况下，判断历史开门和/或关门数据对应取餐具行为或者放餐具行为；在历史开门和/或关门数据对应取餐具行为的情况下，在历史开门和/或关门次数的基础上乘第一权重，以得到各时区对应的修正后的开门和/或关门次数，其中第一权重大于第一预设参数且与时区在多个时区中的位置以及时区在预设时间周期中的天数相关；在历史开门和/或关门数据对应放餐具行为的情况下，在历史开门和/或关门次数的基础上减第二预设参数，以得到各时区对应的修正后的开门和/或关门次数。
可以理解，预设清洗时长为预先设置的洗碗机的最短清洗时长，例如30分钟。通常用户取餐 具的行为发生在清洗后，用户放餐具的行为发生在清洗前，因此取餐具行为可以看成是清洗后用户取出餐具的行为，放餐具行为可以看成是清洗前用户放入餐具的行为。第一预设参数为预先设置的数值，具体数值可以根据实际情况设置，例如可以是1或3。第二预设参数为预先设置的数值，具体数值可以根据实际情况设置，例如可以是1或2。此外，第一预设参数和第二预设参数可以为相同的数值，也可以为不相同的数值。
具体地，处理器可以将历史清洗时长与预设清洗时长(例如，30分钟或20分钟)进行比较，在判断该历史清洗时长大于或等于预设清洗时长的时候，处理器可以判断该历史开门和/或关门数据对应取餐具行为还是放餐具行为，在判断该时区的历史开门和/或关门数据对应取餐具行为的时候，处理器可以在之前统计的该时区的历史开门和/或关门次数的基础上乘以第一权重，以得到各时区对应的修正后的开门和/或关门次数，例如第12个时区的历史开门次数(或关门次数或关门和开门次数)为2，则第12个时区对应的修正后的开门次数(或关门次数或关门和开门次数)为2乘以第一权重后得到的值，其中第一权重大于第一预设参数(例如1)且与该时区在多个时区中的位置以及该时区在预设时间周期中的天数相关，也就是说，不同时区在预设时间周期中的不同天所对应的第一权重都会发生变化。在判断该时区的历史开门和/或关门数据对应放餐具行为的时候，处理器可以在之前统计的该时区的历史开门和/或关门次数的基础上减第二预设参数(例如2)，以得到各时区对应的修正后的开门和/或关门次数。
在本发明实施例中，当历史清洗时长大于或等于预设清洗时长的时候，可以判断该清洗行为为一次正常的清洗行为，此时可以判断该时区的历史开门和/或关门数据对应取餐具行为还是放餐具行为，若对应取餐具行为，则可以在该时区的历史开门和/或关门次数的基础上加上第一权重，该第一权重大于第一预设参数，且与该时区在在多个时区中的位置以及该时区在预设时间周期中的天数相关；若对应放餐具行为，则可以在该时区的历史开门和/或关门次数的基础上减第二预设参数，上述方案根据取餐具行为或放餐具行为的类型对时区的开门和/或关门次数进行修改，即通过设置第一权重或者减去第二预设参数的操作，可以得到不同权重的修正后的时区的开门和/或关门次数。
在一种可能的实施例中，根据历史开门和/或关门次数和历史清洗数据得到各时区对应的修正后的开门和/或关门次数，还包括：在历史清洗时长小于预设清洗时长的情况下，在历史开门和/或关门次数的基础上加第三预设参数，以得到各时区对应的修正后的开门和/或关门次数。
可以理解，第三预设参数为预先设置的数值，具体数值可以根据实际情况设置，例如可以是1或2。
具体地，当历史清洗时长小于预设清洗时长的时候，处理器可以判断该清洗行为不是一个正常的清洗行为，例如清洗行为中断等，此时处理器可以在该时区的历史开门和/或关门次数的基础上加上第三预设参数，得到该时区对应的修正后的开门和/或关门次数。
在一种可能的实施例中，历史清洗数据包括历史清洗开始时刻和历史清洗结束时刻；判断历史开门和/或关门数据对应取餐具行为或者放餐具行为包括：在历史开门和/或关门时刻晚于历史清洗结束时刻的情况下，确定历史开门和/或关门数据对应取餐具行为；在历史开门和/或关门时刻早于历史清洗开始时刻的情况下，确定历史开门和/或关门数据对应放餐具行为。
具体地，处理器可以将历史开门时刻和/或历史关门时刻与历史清洗开始时刻、历史清洗结束时刻进行比较，在历史开门时刻和/或历史关门时刻晚于历史清洗结束时刻的情况下，确定该历史开门数据和/或该历史关门数据对应取餐具行为，在历史开门时刻和/或历史关门时刻早于历史清洗开始时刻的情况下，确定该历史开门数据和/或该历史关门数据对应放餐具行为。
在本发明实施例中，通过将历史开门时刻和/或历史关门时刻与历史清洗开始时刻、历史清洗结束时刻进行比较，可以判定发生在清洗行为之前的行为是放餐具，发生在清洗行为之后的行为是取餐具。
在一个实施例中，判断历史开门和/或关门数据对应取餐具行为或者放餐具行为包括：根据历史开和关门时刻确定历史开和关门时刻之间的时长；在时长大于或等于第一时长阈值的情况下，确定历史开门和/或关门数据对应放餐具行为；在时长小于第一时长阈值的情况下，确定历史开门和/或关门数据对应取餐具行为。
可以理解，第一时长阈值为预先设置的开门时刻和关门时刻之间的标准时间长度。
具体地，处理器可以根据史开和关门时刻计算历史开门时刻和历史关门时刻之间的时长，并将该时长与第一时长阈值进行比较，在该时长大于或者等于第一时长阈值的时候，处理器可以确定该历史开门和/或关门数据对应放餐具行为，否则对应取餐具行为。
在本发明实施例中，根据历史开门时刻和历史关门时刻可以确定历史开门时刻和历史关门时刻之间的时长，通过设置第一时长阈值，并将该时长与第一时长阈值进行比较，通常清洗后的取餐具行为的时间长度短于清洗前的放餐具行为的时间长度，可以判定开门到关门之间的时长大于或者等于第一时长阈值的为放餐具行为，否则为取餐具行为。
S904，根据修正后的开门和/或关门次数确定各时区的开门和/或关门概率。
具体地，处理器可以根据各时区对应的修正后的开门和/或关门次数确定各时区的开门和/或关门概率，可以理解，由于开门动作与关门动作相对应，故开门概率和关门概率可以看成是相同的数值。
在一种可能的实施例中，根据修正后的开门和/或关门次数确定各时区的开门和/或关门概率，包括：确定修正后的开门和/或关门次数与第一权重的乘积值，其中，第一权重大于第一预设参数且与时区在多个时区中的位置以及时区在预设时间周期中的天数相关；对各时区的乘积值进行求和处理，以得到各时区对应的时区次数总和；对时区次数总和进行求和处理，以得到预设时间周期内所有时区的周期次数总和；确定时区次数总和与周期次数总和的比值，以得到各时区的开门和/或关门概率。
具体地，可以参照以下公式(1)进行计算：
其中，kij为第i个时区在预设时间周期中的第j天的第一权重，mi为第i个时区对应的修正后的开门和/或关门次数，Pi为第i个时区的开门和/或关门概率，n为多个时区的总个数，d为预设时间周期的总天数。
可以理解的是，上述公式(1)中，kij*mi即修正后的开门和/或关门次数与第一权重的乘积值，公式(1)中的分子部分是表示每个时区所有天数的开门次数和/或关门次数的总和(即时区次数总和)，分母部分是表示所有时区所有天数的开门次数和/或关门次数的总和(即周期次数总和)。
进一步地，在一个实施例中，当第一预设参数为1的时候，第一权重的确定可以包括根据以下公式(2)确定：
其中，kij为第i个时区在预设时间周期中的第j天的第一权重，n为多个时区的总个数。
从上述公式(2)中可以看出，第一权重的数值大于1(此时第一预设参数为1)，且与时区在多个时区中的位置(即上述公式中的i)以及时区在预设时间周期中的天数(即上述公式中的j)相关，第一权重kij的数值大小随着i的增大而增大，随着j的增大而增大，也就是说，第一权重与时区在多个时区中的位置(即上述公式中的i)以及时区在预设时间周期中的天数(即上述公式中的j)呈正相关的关系。
S906，根据开门和/或关门概率和预设概率阈值，从多个时区中确定第一时区，以根据第一时区得到洗碗机中的餐具的取出时刻，其中第一时区与洗碗机中的餐具的取出时刻相关。
可以理解，预设概率阈值为预先设置的开门概率或者关门概率或者开门和关门的概率，其中，由于开门动作与关门动作相对应，故开门概率可以等同于关门概率，开门和关门的概率也可以等同于开门概率、关门概率。第一时区为与洗碗机中的餐具的取出时刻相关的时区。
具体地，处理器可以将开门概率或者关门概率或者开门和关门的概率与预设概率阈值进行比较，可以将达到预设概率阈值的开门概率或者关门概率或者开门和关门的概率筛选出来，可以从多个时区中确定第一时区，可以根据该第一时区确定洗碗机中的餐具的取出时刻。
在一种可能的实施例中，根据开门和/或关门概率和预设概率阈值，从多个时区中确定第一时区，包括：将开门和/或关门概率与预设概率阈值进行比较；将开门和/或关门概率大于或等于预设概率阈值的时区按照开门和/或关门概率的大小进行降序排序，以得到顺序靠前的数量小于或等于预设数量的第一时区。
可以理解，预设数量为预先设置的第一时区的要求数量。
具体地，处理器可以将开门概率或者关门概率或者开门和关门的概率与预设概率阈值进行比较，筛选出开门概率或者关门概率或者开门和关门的概率大于或等于预设概率阈值的时区，并将筛选后得到的时区按照概率的大小顺序进行从大到小的降序排序，得到预设数量的顺序靠前的第一时区，例如，开门概率或者关门概率或者开门和关门的概率大于或等于预设概率阈值的时区的数量有4个，但是预设数量为3，则可以将概率大小顺序靠前的3个时区作为第一时区。
本发明实施例中，通过先将时区的开门和/或关门概率与预设概率阈值进行比较，即进行第一轮筛选，以筛选出开门和/或关门概率大于或者等于预设概率阈值的时区，然后按照概率的大小顺序将第一轮筛选后的时区进行降序排列，即进行第二轮筛选，得到小于或等于预设数量的第一时区。
在一种可能的实施例中，根据开门和/或关门概率和预设概率阈值，从多个时区中确定第一时区，包括：将各时区按照开门和/或关门概率的大小进行降序排序，以得到顺序靠前的数量小于或等于预设数量的时区；将顺序靠前的数量小于或等于预设数量的时区对应的开门和/或关门概率与预设概率阈值进行比较；去除开门和/或关门概率小于预设概率阈值的时区，以得到第一时区。
具体地，处理器可以先将各时区按照开门概率或者关门概率或者开门和关门的概率的大小进行从大到小的降序排序，得到顺序靠前的数量小于或等于预设数量的时区，并将排序后得到的时区的开门概率或者关门概率或者开门和关门的概率与预设概率阈值进行比较，将开门概率或者关门概率或者开门和关门的概率小于预设概率阈值的时区进行去除，得到第一时区。
本发明实施例中，通过先将时区的开门和/或关门概率按照概率的大小顺序进行降序排列，即进行第一轮筛选，以得到满足预设数量的时区，然后将第一轮筛选后的时区的开门和/或关门概率与预设概率阈值进行比较，得到满足预设概率阈值的第一时区。
在一种可能的实施例中，在取出时刻之前控制洗碗机开启烘干功能，包括：在距离取出时刻预设时间间隔的情况下，控制洗碗机开启烘干功能。
具体地，处理器在预测得出取出时刻之后，可以在距离取出时刻预设时间间隔(例如30分钟)的时候提前控制洗碗机开启烘干功能，以提前进行烘干。
在一种可能的实施例中，用于洗碗机的控制方法还包括：获取洗碗机内部的当前湿度；根据当前湿度与目标湿度确定洗碗机的烘干时长；根据烘干时长控制洗碗机进行烘干。
具体地，处理器可以通过湿度检测装置获取洗碗机内部的当前湿度，即洗碗机腔体的当前湿度，并根据该当前湿度和目标湿度确定洗碗机的烘干时长，根据烘干时长控制洗碗机进行烘干。
在一种可能的实施例中，预设时间间隔可以等同于烘干时长，即在得出烘干时长之后，处理器在距离取出时刻烘干时长的情况下，控制洗碗机开启烘干功能，可以保证用户一打开洗碗机取出来的餐具是刚烘干完的餐具。
在一种可能的实施例中，根据当前湿度与目标湿度确定洗碗机的烘干时长，包括根据以下公式(3)确定：
T＝(He-Hs)*100/53.5         公式(3)
其中，He为目标湿度，Hs为当前湿度，T为烘干时长。
在一种具体的实施例中，图10示意性本申请一示例性实施例提供的另一种洗碗机控制方法的流程示意图，控制逻辑可以如图10所示，当用户使用洗碗机时，首先可以把一天24小时划分为48个时区，每个区间有30分钟，统计每个时区中开关门次数，开关门时间长度，并记录最近一次清洗行为的时间点，根据洗碗机历史行为数据分析发现，清洗后的取餐具时间，短于清洗前的放餐 具行为，同时清洗前的行为可以认为是放餐具，清洗后的行为可以视为取餐具，然后统计每个时区中的关门次数，该次数会根据时间推移进行函数加权kij，当用户使用超过4周后，累加各个时区的总体取餐具次数，然后归一化后，计算每个时间点的预测概率Pi，排序后取最高概率的三个时区预判为用户经常使用的时区，并且每个时区的概率必须都要大于20％(即预设概率阈值，也可以取其他参数，根据实际情况确定)，小于20％的预测会被舍弃，因此每天防回潮的预测不一定是三次，然后根据用户的习惯信息，往前推算一个时间段，提前进行烘干，烘干时间T的计算会根据用户家中的湿度环境自动匹配烘干时间，达到最优的烘干策略，节能省电。
预测算法整体计算可以设计为朴素贝叶斯的函数，见以下公式(1)：
其中，kij为第i个时区在预设时间周期中的第j天的第一权重，mi为第i个时区对应的修正后的开门和/或关门次数，Pi为第i个时区的开门和/或关门概率，n为多个时区的总个数(例如48)，d为预设时间周期的总天数。
第一权重的确定可以采用习惯度权重机制，见以下公式(2)：
其中，kij为第i个时区在预设时间周期中的第j天的第一权重，n为多个时区的总个数(例如48)。
用户烘干时间匹配函数见以下公式(3)：
T＝(He-Hs)*100/53.5        公式(3)
其中，He为目标湿度，Hs为当前湿度，T为烘干时长。
预测洗碗机中的餐具的取出时刻基本符合用户的使用时间区间，即预测时间区间基本与用户早上、中午及晚上用餐的时间区间吻合。
本发明实施例提供的用于洗碗机的控制方法，基于用户的洗碗机使用习惯训练得到智能防回潮算法，即根据用户的历史行为数据，通过机器学习时序算法原理，设计了一种智能预测开启烘干功能的算法，该算法主要是通过学习用户在过去预设时间周期(例如4周)的洗碗机的使用行为，主要包含洗碗机的开关门行为、功能使用行为以及烘干行为信息，判断用户经常取出餐具的时间节点，提前进行烘干，防止餐具潮湿，提升了用户的使用体验。
图11为本申请一示例性实施例提供的一种洗碗机控制的结构框图。如图11所示，该洗碗机1100包括：
门控开关1110，用于检测洗碗机的开门和/或关门状态，并发送指示开门和/或关门状态的信息，信息用于形成历史开门和/或关门数据。
湿度检测设备1120，用于检测洗碗机内部的湿度。
处理器1130，被配置成可以执行以上方法实施例的全部步骤或者部分步骤。
图12为本申请一示例性实施例提供的一种洗碗机控制系统的结构框图，如图如12所示，该洗碗机控制系统至少可以包括门控开关1210、湿度传感器1220、通讯模组1230、洗碗机电控1240(即洗碗机控制器)以及云端1250(即服务器)。洗碗机电控1240可以接收门控开关1210检测到的洗碗机的开门和/或关门状态，洗碗机电控1240还可以接收湿度传感器1220检测到的洗碗机内部的湿度，云端1250存储有回潮预测算法，可以预测洗碗机中的餐具的取出时刻，并通过通讯模组1240将烘干指令发送至洗碗机电控1240，洗碗机电控1240接收到烘干指令后可以启动洗碗机的烘干功能。
接下来请参考图13，其为本申请实施例提供了一种洗碗机控制装置的结构示意图。上述洗碗机包括人体感应模块，如图13所示，该洗碗机控制装置1300包括：
第一获取模块1310，用于获取预设时间段内的活跃时间集；上述活跃时间集包括至少一个活跃时间；上述活跃时间为上述人体感应模块感应到在上述洗碗机的预设区域内出现人体活动的时间；
第二获取模块1320，用于获取上述洗碗机在上述预设时间段内的工作时间；
预测模块1330，用于基于上述活跃时间集以及上述工作时间预测用户的取餐具时刻；
第一控制模块1340，用于在目标时刻控制上述洗碗机进行净味处理；上述目标时刻为上述取餐具时刻之前第一时长的时刻。
在一种可能的实现方式中，上述工作时间包括上述洗碗机开始工作的第一时刻；
上述预测模块1330包括：
滤除单元，用于滤除上述活跃时间集中在上述第一时刻之前第二时长内的活跃时间，得到目标活跃时间集；
第一预测单元，用于基于上述目标活跃时间集预测用户的取餐具时刻。
在一种可能的实现方式中，上述工作时间还包括上述洗碗机结束工作的第二时刻；
上述第一预测单元包括：
划分子单元，用于基于上述第二时刻将上述目标活跃时间集划分为第一目标活跃时间集和第二目标活跃数据集；上述第一目标活跃时间集包括上述目标活跃时间集中在上述第二时刻之后第三时长内出现的活跃时间；上述第二目标活跃数据集包括上述目标活跃时间集中不在上述第二时刻之后第三时长内出现的活跃时间；
确定子单元，用于基于上述第一目标活跃时间集以及上述第一目标活跃时间集对应的第一目标权重、上述第二目标活跃时间集以及上述第二目标活跃时间集对应的第二目标权重确定用户的取餐具时刻。
在一种可能的实现方式中，上述第一目标权重大于上述第二目标权重。
在一种可能的实现方式中，上述洗碗机还包括门组件；
上述洗碗机控制装置1300还包括：
第三获取模块，用于获取上述预设时间段内上述门组件的开启时间；
上述预测模块1330包括：
第二预测单元，用于基于上述活跃时间集、上述工作时间以及上述开启时间预测用户的取餐具时刻。
在一种可能的实现方式中，上述工作时间包括上述洗碗机开始工作的第一时刻；
上述第二预测单元包括：
滤除子单元，用于滤除上述门组件的开启时间中在上述第一时刻之前第四时长内的开启时间，得到目标开启时间；
预测子单元，用于基于上述活跃时间集、上述工作时间以及上述目标开启时间预测用户的取餐具时刻。
在一种可能的实现方式中，上述洗碗机控制装置1300还包括：
第二控制模块，用于在上述洗碗机进行净味处理的时长达到第五时长后，控制上述洗碗机结束净味处理；上述第五时长小于或等于上述第一时长。
上述洗碗机控制装置中各模块的划分仅用于举例说明，在其他实施例中，可将洗碗机控制装置按照需要划分为不同的模块，以完成上述洗碗机控制装置的全部或部分功能。本说明书实施例中提供的洗碗机控制装置中的各个模块的实现可为计算机程序的形式。该计算机程序可在终端或服务器上运行。该计算机程序构成的程序模块可存储在终端或服务器的存储器上。该计算机程序被处理器执行时，实现本说明书实施例中所描述的洗碗机控制方法的全部或部分步骤。
请参见图14，为本申请实施例提供了一种洗碗机的结构示意图。如图14所示，洗碗机1400可以包括：至少一个处理器1410、至少一个网络接口1420、用户接口1430、人体感应模块1440、存储器1450以及至少一个通信总线1460。
其中，通信总线1460用于实现这些组件之间的连接通信。
其中，网络接口1420可以包括但不限于低功耗蓝牙模块、近场通信(Near Field Communication， NFC)模块、无线保真(Wireless Fidelity，Wi-Fi)模块等。
其中，用户接口1430可以包括显示屏(Display)和摄像头(Camera)，可选地，用户接口1430还可以包括标准的有线接口、无线接口。
其中，人体感应模块1440用于感应到在洗碗机1400的预设区域内出现的人体活动，可以包括但不限于微波雷达传感器、人体红外传感器等。上述预设区域可以但不限于是与洗碗机1400的距离小于或等于0.2米、0.1米的区域等。
其中，存储器1450用于存储的用户接口1430输入的信息和处理器1410处理得到的取餐具时刻、目标时刻以及可执行程序代码等信息。
其中，处理器1410可以包括一个或者多个处理核心。处理器1410利用各种借口和线路连接整个洗碗机1400内的各个部分，通过运行或执行存储在存储器1450内的指令、程序、代码集或指令集，以及调用存储在存储器1450内的数据，执行洗碗机1400的各种功能和处理数据。可选的，处理器1410可以采用数字信号处理(Digital Signal Processing，DSP)、现场可编程门阵列(Field-Programmable Gate Array，FPGA)、可编程逻辑阵列(Programmable Logic Array，PLA)中的至少一种硬件形式来实现。处理器1410可集成中央处理器(Central Processing Unit，CPU)、图像处理器(Graphics Processing Unit，GPU)和调制解调器等中的一种或几种的组合。其中，CPU主要处理操作系统、用户界面和应用程序等；GPU用于负责显示屏所需要显示的内容的渲染和绘制；调制解调器用于处理无线通信。可以理解的是，上述调制解调器也可以不集成到处理器1410中，单独通过一块芯片进行实现。
其中，存储器1450可以包括随机存储器(Random Access Memory，RAM)，也可以包括只读存储器(Read-Only Memory，ROM)。可选的，该存储器1450包括非瞬时性计算机可读介质(non-transitory computer-readable storage medium)。存储器1450可用于存储指令、程序、代码、代码集或指令集。存储器1450可包括存储程序区和存储数据区，其中，存储程序区可存储用于实现操作系统的指令、用于至少一个功能的指令(比如获取功能、预测功能、控制功能等)、用于实现上述各个方法实施例的指令等；存储数据区可存储上面各个方法实施例中涉及到的数据等。存储器1450可选的还可以是至少一个位于远离前述处理器1410的存储装置。如图14所示，作为一种计算机存储介质的存储器1450中可以包括操作系统、网络通信模块、用户接口模块以及程序指令。
在图14所示的洗碗机1400中，用户接口1430主要用于为用户提供输入的接口，获取用户输入的数据；而处理器1410可以用于调用存储器1450中存储的程序指令，并具体执行以下操作：
获取预设时间段内的活跃时间集；上述活跃时间集包括至少一个活跃时间；上述活跃时间为上述人体感应模块1440感应到在上述洗碗机的预设区域内出现人体活动的时间；获取上述洗碗机在上述预设时间段内的工作时间；基于上述活跃时间集以及上述工作时间预测用户的取餐具时刻；在目标时刻控制上述洗碗机进行净味处理；上述目标时刻为上述取餐具时刻之前第一时长的时刻。
在一些可能的实施例中，上述工作时间包括上述洗碗机开始工作的第一时刻；上述处理器1410执行基于上述活跃时间集以及上述工作时间预测用户的取餐具时刻时，具体用于执行：滤除上述活跃时间集中在上述第一时刻之前第二时长内的活跃时间，得到目标活跃时间集；基于上述目标活跃时间集预测用户的取餐具时刻。
在一些可能的实施例中，上述工作时间还包括上述洗碗机结束工作的第二时刻；上述处理器1410执行基于上述目标活跃时间集预测用户的取餐具时刻时，具体用于执行：基于上述第二时刻将上述目标活跃时间集划分为第一目标活跃时间集和第二目标活跃数据集；上述第一目标活跃时间集包括上述目标活跃时间集中在上述第二时刻之后第三时长内出现的活跃时间；上述第二目标活跃数据集包括上述目标活跃时间集中不在上述第二时刻之后第三时长内出现的活跃时间；基于上述第一目标活跃时间集以及上述第一目标活跃时间集对应的第一目标权重、上述第二目标活跃时间集以及上述第二目标活跃时间集对应的第二目标权重确定用户的取餐具时刻。
在一些可能的实施例中，上述第一目标权重大于上述第二目标权重。
在一些可能的实施例中，上述洗碗机还包括门组件；上述处理器1410执行基于上述活跃时间 集以及上述工作时间预测用户的取餐具时刻之前，还用于执行：获取上述预设时间段内上述门组件的开启时间；上述处理器1410执行基于上述活跃时间集以及上述工作时间预测用户的取餐具时刻时，具体用于执行：
基于上述活跃时间集、上述工作时间以及上述开启时间预测用户的取餐具时刻。
在一些可能的实施例中，上述工作时间包括上述洗碗机开始工作的第一时刻；上述处理器1410执行基于上述活跃时间集、上述工作时间以及上述开启时间预测用户的取餐具时刻时，具体用于执行：滤除上述门组件的开启时间中在上述第一时刻之前第四时长内的开启时间，得到目标开启时间；基于上述活跃时间集、上述工作时间以及上述目标开启时间预测用户的取餐具时刻。
在一些可能的实施例中，上述处理器1410执行控制上述洗碗机进行净味处理之后，还用于执行：在上述洗碗机进行净味处理的时长达到第五时长后，控制上述洗碗机结束净味处理；上述第五时长小于或等于上述第一时长。
本申请实施例还提供了一种计算机存储介质，该计算机存储介质中存储有指令，当其在计算机或处理器上运行时，使得计算机或处理器执行上述任一个方法中的一个或多个步骤。上述洗碗机控制装置的各组成模块如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在所述存储介质中。
在上述实施例中，可以全部或部分地通过软件、硬件、固件或者其任意组合来实现。当使用软件实现时，可以全部或部分地以计算机程序产品的形式实现。所述计算机程序产品包括一个或多个计算机指令。在计算机上加载和执行所述计算机程序指令时，全部或部分地产生按照本申请实施例所述的流程或功能。所述计算机可以是通用计算机、专用计算机、计算机网络、或者其他可编程装置。所述计算机指令可以存储在计算机可读存储介质中，或者通过所述计算机可读存储介质进行传输。所述计算机指令可以从一个网站站点、计算机、服务器或数据中心通过有线(例如同轴电缆、光纤、数字用户线(Digital Subscriber Line，DSL))或无线(例如红外、无线、微波等)方式向另一个网站站点、计算机、服务器或数据中心进行传输。所述计算机可读存储介质可以是计算机能够存取的任何可用介质或者是包含一个或多个可用介质集成的服务器、数据中心等数据存储设备。所述可用介质可以是磁性介质，(例如，软盘、硬盘、磁带)、光介质(例如，数字多功能光盘(Digital Versatile Disc，DVD))、或者半导体介质(例如，固态硬盘(solid state disk，SSD))等。
本领域普通技术人员可以理解实现上述实施例方法中的全部或部分流程，可以通过计算机程序来指令相关的硬件来完成，该程序可存储于计算机可读取存储介质中，该程序在执行时，可包括如上述各方法的实施例的流程。而前述的存储介质包括：ROM、RAM、磁碟或者光盘等各种可存储程序代码的介质。在不冲突的情况下，本实施例和实施方案中的技术特征可以任意组合。
以上所述的实施例仅仅是本申请的优选实施例方式进行描述，并非对本申请的范围进行限定，在不脱离本申请的设计精神的前提下，本领域普通技术人员对本申请的技术方案作出的各种变形及改进，均应落入本申请的权利要求书确定的保护范围内。

Claims (24)

  1. 一种洗碗机控制方法，其特征在于，所述洗碗机包括人体感应模块；所述方法包括：
    获取预设时间段内的活跃时间集；所述活跃时间集包括至少一个活跃时间；所述活跃时间为所述人体感应模块感应到在所述洗碗机的预设区域内出现人体活动的时间；
    获取所述洗碗机在所述预设时间段内的工作时间；
    基于所述活跃时间集以及所述工作时间预测用户的取餐具时刻；
    在目标时刻控制所述洗碗机进行净味处理；所述目标时刻为所述取餐具时刻之前第一时长的时刻。
  2. 如权利要求1所述的方法，其特征在于，所述工作时间包括所述洗碗机开始工作的第一时刻；
    所述基于所述活跃时间集以及所述工作时间预测用户的取餐具时刻，包括：
    滤除所述活跃时间集中在所述第一时刻之前第二时长内的活跃时间，得到目标活跃时间集；
    基于所述目标活跃时间集预测用户的取餐具时刻。
  3. 如权利要求2所述的方法，其特征在于，所述工作时间还包括所述洗碗机结束工作的第二时刻；
    所述基于所述目标活跃时间集预测用户的取餐具时刻，包括：
    基于所述第二时刻将所述目标活跃时间集划分为第一目标活跃时间集和第二目标活跃数据集；所述第一目标活跃时间集包括所述目标活跃时间集中在所述第二时刻之后第三时长内出现的活跃时间；所述第二目标活跃数据集包括所述目标活跃时间集中不在所述第二时刻之后第三时长内出现的活跃时间；
    基于所述第一目标活跃时间集以及所述第一目标活跃时间集对应的第一目标权重、所述第二目标活跃时间集以及所述第二目标活跃时间集对应的第二目标权重确定用户的取餐具时刻。
  4. 如权利要求3所述的方法，其特征在于，所述第一目标权重大于所述第二目标权重。
  5. 如权利要求1-4中任一项所述的方法，其特征在于，所述洗碗机还包括门组件；
    所述基于所述活跃时间集以及所述工作时间预测用户的取餐具时刻之前，所述方法还包括：
    获取所述预设时间段内所述门组件的开启时间；
    所述基于所述活跃时间集以及所述工作时间预测用户的取餐具时刻，包括：
    基于所述活跃时间集、所述工作时间以及所述开启时间预测用户的取餐具时刻。
  6. 如权利要求5所述的方法，其特征在于，所述工作时间包括所述洗碗机开始工作的第一时刻；
    所述基于所述活跃时间集、所述工作时间以及所述开启时间预测用户的取餐具时刻，包括：
    滤除所述门组件的开启时间中在所述第一时刻之前第四时长内的开启时间，得到目标开启时间；
    基于所述活跃时间集、所述工作时间以及所述目标开启时间预测用户的取餐具时刻。
  7. 如权利要求1-6任一项所述的方法，其特征在于，所述控制所述洗碗机进行净味处理之后，所述方法还包括：
    在所述洗碗机进行净味处理的时长达到第五时长后，控制所述洗碗机结束净味处理；所述第五时长小于或等于所述第一时长。
  8. 一种洗碗机控制方法，其特征在于，所述方法包括：
    获取洗碗机在预设时间周期内的历史行为数据；
    根据所述历史行为数据预测所述洗碗机中的餐具的取出时刻；
    在所述取出时刻之前控制所述洗碗机开启烘干功能。
  9. 根据权利要求8所述的控制方法，其特征在于，所述历史行为数据包括历史开门和/或关门数据和历史清洗数据；所述历史开门和/或关门数据包括历史开门和/或关门时刻；所述获取洗碗机在预设时间周期内的历史行为数据包括：
    将所述预设时间周期中的每一天划分成多个时区；
    获取所述洗碗机在各所述时区内的历史开门和/或关门时刻和历史清洗数据；
    根据各所述时区内的历史开门和/或关门时刻确定各所述时区内的历史开门和/或关门次数。
  10. 根据权利要求9所述的控制方法，其特征在于，所述根据所述历史行为数据预测所述洗碗机中的餐具的取出时刻，包括：
    根据所述历史开门和/或关门次数和所述历史清洗数据得到各所述时区对应的修正后的开门和/或关门次数；
    根据所述修正后的开门和/或关门次数确定各所述时区的开门和/或关门概率；
    根据所述开门和/或关门概率和预设概率阈值，从所述多个时区中确定第一时区，以根据所述第一时区得到所述洗碗机中的餐具的取出时刻，其中所述第一时区与所述洗碗机中的餐具的取出时刻相关。
  11. 根据权利要求10所述的控制方法，其特征在于，所述历史清洗数据包括历史清洗时长；所述根据所述历史开门和/或关门次数和所述历史清洗数据得到各所述时区对应的修正后的开门和/或关门次数，包括：
    在所述历史清洗时长大于或等于预设清洗时长的情况下，判断所述历史开门和/或关门数据对应取餐具行为或者放餐具行为；
    在所述历史开门和/或关门数据对应取餐具行为的情况下，在所述历史开门和/或关门次数的基础上乘第一权重，以得到各所述时区对应的修正后的开门和/或关门次数，其中所述第一权重大于第一预设参数且与所述时区在所述多个时区中的位置以及所述时区在所述预设时间周期中的天数相关；
    在所述历史开门和/或关门数据对应放餐具行为的情况下，在所述历史开门和/或关门次数的基础上减第二预设参数，以得到各所述时区对应的修正后的开门和/或关门次数。
  12. 根据权利要求11所述的控制方法，其特征在于，所述根据所述历史开门和/或关门次数和所述历史清洗数据得到各所述时区对应的修正后的开门和/或关门次数，还包括：
    在所述历史清洗时长小于预设清洗时长的情况下，在所述历史开门和/或关门次数的基础上加第三预设参数，以得到各所述时区对应的修正后的开门和/或关门次数。
  13. 根据权利要求11所述的控制方法，其特征在于，所述历史清洗数据包括历史清洗开始时刻和历史清洗结束时刻；所述判断所述历史开门和/或关门数据对应取餐具行为或者放餐具行为包括：
    在所述历史开门和/或关门时刻晚于所述历史清洗结束时刻的情况下，确定所述历史开门和/或关门数据对应取餐具行为；
    在所述历史开门和/或关门时刻早于所述历史清洗开始时刻的情况下，确定所述历史开门和/或关门数据对应放餐具行为。
  14. 根据权利要求11-13中任一项所述的控制方法，其特征在于，所述判断所述历史开门和/或关门数据对应取餐具行为或者放餐具行为包括：
    根据所述历史开和关门时刻确定所述历史开和关门时刻之间的时长；
    在所述时长大于或等于第一时长阈值的情况下，确定所述历史开门和/或关门数据对应放餐具行为；
    在所述时长小于所述第一时长阈值的情况下，确定所述历史开门和/或关门数据对应取餐具行为。
  15. 根据权利要求10-14中任一项所述的控制方法，其特征在于，所述根据所述修正后的开门和/或关门次数确定各所述时区的开门和/或关门概率，包括：
    确定所述修正后的开门和/或关门次数与第一权重的乘积值，其中，所述第一权重大于第一预设参数且与所述时区在所述多个时区中的位置以及所述时区在所述预设时间周期中的天数相关；
    对各所述时区的所述乘积值进行求和处理，以得到各所述时区对应的时区次数总和；
    对所述时区次数总和进行求和处理，以得到所述预设时间周期内所有时区的周期次数总和；
    确定所述时区次数总和与所述周期次数总和的比值，以得到各所述时区的开门和/或关门概 率。
  16. 根据权利要求10-15中任一项所述的控制方法，其特征在于，所述根据所述开门和/或关门概率和预设概率阈值，从所述多个时区中确定第一时区，包括：
    将所述开门和/或关门概率与所述预设概率阈值进行比较；
    将所述开门和/或关门概率大于或等于所述预设概率阈值的时区按照开门和/或关门概率的大小进行降序排序，以得到顺序靠前的数量小于或等于预设数量的所述第一时区。
  17. 根据权利要求10-16中任一项所述的控制方法，其特征在于，所述根据所述开门和/或关门概率和预设概率阈值，从所述多个时区中确定第一时区，包括：
    将各所述时区按照开门和/或关门概率的大小进行降序排序，以得到顺序靠前的数量小于或等于预设数量的时区；
    将所述顺序靠前的数量小于或等于预设数量的时区对应的开门和/或关门概率与所述预设概率阈值进行比较；
    去除开门和/或关门概率小于所述预设概率阈值的时区，以得到所述第一时区。
  18. 根据权利要求8-17中任一项所述的控制方法，其特征在于，所述在所述取出时刻之前控制所述洗碗机开启烘干功能，包括：
    在距离所述取出时刻预设时间间隔的情况下，控制所述洗碗机开启烘干功能。
  19. 根据权利要求8-18中任一项所述的控制方法，其特征在于，所述控制方法还包括：
    获取所述洗碗机内部的当前湿度；
    根据所述当前湿度与目标湿度确定所述洗碗机的烘干时长；
    根据所述烘干时长控制所述洗碗机进行烘干。
  20. 一种洗碗机控制装置，其特征在于，包括：
    第一获取模块，用于获取预设时间段内的活跃时间集；所述活跃时间集包括至少一个活跃时间；所述活跃时间为所述人体感应模块感应到在所述洗碗机的预设区域内出现人体活动的时间；
    第二获取模块，用于获取所述洗碗机在所述预设时间段内的工作时间；
    预测模块，用于基于所述活跃时间集以及所述工作时间预测用户的取餐具时刻；
    第一控制模块，用于在目标时刻控制所述洗碗机进行净味处理；所述目标时刻为所述取餐具时刻之前第一时长的时刻。
  21. 一种洗碗机控制装置，其特征在于，包括：
    第四获取模块，用于获取洗碗机在预设时间周期内的历史行为数据；
    预测模块，用于根据所述历史行为数据预测所述洗碗机中的餐具的取出时刻；
    第三控制模块，用于在所述取出时刻之前控制所述洗碗机开启烘干功能。
  22. 一种洗碗机，其特征在于，包括：处理器和存储器；
    所述处理器与所述存储器相连；
    所述存储器，用于存储可执行程序代码；
    所述处理器通过读取所述存储器中存储的可执行程序代码来运行与所述可执行程序代码对应的程序，以用于执行如权利要求1-19任一项所述的方法。
  23. 一种洗碗机，其特征在于，包括：
    门控开关，用于检测洗碗机的开门和/或关门状态，并发送指示开门和/或关门状态的信息，所述信息用于形成历史开门和/或关门数据；
    湿度检测设备，用于检测所述洗碗机内部的湿度；以及
    处理器，用于执行如权利要求8-19任一项所述的方法。
  24. 一种计算机存储介质，其特征在于，所述计算机存储介质存储有多条指令，所述指令适于由处理器加载并执行如权利要求1-19任一项的方法步骤。
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