CN113495488A - Control method of household appliance, household appliance and computer readable storage medium - Google Patents

Control method of household appliance, household appliance and computer readable storage medium Download PDF

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Publication number
CN113495488A
CN113495488A CN202010263779.1A CN202010263779A CN113495488A CN 113495488 A CN113495488 A CN 113495488A CN 202010263779 A CN202010263779 A CN 202010263779A CN 113495488 A CN113495488 A CN 113495488A
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China
Prior art keywords
household appliance
state
parameters
input event
current
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Pending
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CN202010263779.1A
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Chinese (zh)
Inventor
禹春圭
李勇
李种文
程刚
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Foshan Shunde Midea Washing Appliances Manufacturing Co Ltd
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Foshan Shunde Midea Washing Appliances Manufacturing Co Ltd
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Application filed by Foshan Shunde Midea Washing Appliances Manufacturing Co Ltd filed Critical Foshan Shunde Midea Washing Appliances Manufacturing Co Ltd
Priority to CN202010263779.1A priority Critical patent/CN113495488A/en
Priority to PCT/CN2021/085685 priority patent/WO2021204117A1/en
Publication of CN113495488A publication Critical patent/CN113495488A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B15/00Systems controlled by a computer
    • G05B15/02Systems controlled by a computer electric
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/20Pc systems
    • G05B2219/26Pc applications
    • G05B2219/2642Domotique, domestic, home control, automation, smart house

Abstract

The invention discloses a control method of a household appliance, the household appliance and a computer readable storage medium. The control method comprises the following steps: detecting a current input event of the home appliance; generating an adjusting parameter of the household appliance according to the current input event; and adjusting the preset working parameters of the household appliance according to the adjustment parameters to obtain learning working parameters. According to the control method of the household appliance, the parameters are adjusted according to the input current input event, and the preset working parameters are adjusted according to the adjustment parameters to obtain the learning working parameters, so that the household appliance can control products more reasonably along with the accumulation of the use habits of users.

Description

Control method of household appliance, household appliance and computer readable storage medium
Technical Field
The invention relates to the technical field of household appliances, in particular to a control method of a household appliance, the household appliance and a computer readable storage medium.
Background
In the related art, the usage habits of different users on home appliances may be different. The working parameters of common household electrical appliance products are preset when the household electrical appliance products leave a factory, and the working state is only one or more fixed, which is difficult to meet more requirements of users.
Disclosure of Invention
The embodiment of the invention provides a control method of a household appliance, the household appliance and a computer readable storage medium.
The control method of the household appliance provided by the embodiment of the invention comprises the following steps:
detecting a current input event of the home appliance;
generating an adjusting parameter of the household appliance according to the current input event;
and adjusting the preset working parameters of the household appliance according to the adjustment parameters to obtain learning working parameters.
In the control method of the household appliance, the adjustment parameters are determined according to the input current input event, and the preset working parameters are adjusted according to the adjustment parameters to obtain the learning working parameters, so that the household appliance can control the product more reasonably along with the accumulation of the use habits of the user.
In some embodiments, the current input event of the household appliance is from at least one of:
an input component of the household appliance;
a sensor of the household appliance;
a communication input of the household appliance.
In some embodiments, generating the adjustment parameter of the home appliance according to the current input event includes:
determining a behavior occurrence ratio according to the current input event;
and determining the adjusting parameter under the condition that the behavior occurrence proportion is larger than a preset value.
In some embodiments, the household appliance comprises a preset state and a plurality of working states, each working state corresponding to at least one input event,
determining a behavior occurrence ratio according to the current input event, comprising:
under the condition that the current state of the household appliance is the preset state, the current state of the household appliance is transferred from the preset state to the current working state corresponding to the current input event according to the current input event;
and determining the behavior occurrence proportion according to the total transfer times of the current state and the times of the current input events in the current working state.
In some embodiments, in the case that the behavior occurrence ratio is greater than a preset value, determining the adjustment parameter includes:
determining event working parameters corresponding to the input events according to the input events of the household appliance, wherein the input events comprise the current input events;
and determining the adjusting parameters according to the event working parameters and the preset working parameters.
In certain embodiments, the control method comprises:
and storing the learning working parameters according to a preset period.
In certain embodiments, the control method comprises:
and driving the household appliance to operate according to the learning working parameters.
The household appliance comprises an event detection part, an adjustment parameter generation part and a behavior learning part, wherein the adjustment parameter generation part is connected with the event detection part and the behavior learning part, and the event detection part is used for detecting a current input event of the household appliance; the adjusting parameter generating part is used for generating adjusting parameters of the household appliance according to the current input event; the behavior learning part is used for adjusting preset working parameters of the household appliance according to the adjusting parameters to obtain learning working parameters.
In the household appliance, the adjustment parameters are determined according to the input current input event, and the preset working parameters are adjusted according to the adjustment parameters to obtain the learning working parameters, so that the household appliance can control the product more reasonably along with the accumulation of the use habits of the user.
In some embodiments, the current input event of the household appliance is from at least one of:
an input component of the household appliance;
a sensor of the household appliance;
a communication input of the household appliance.
In some embodiments, the adjustment parameter generating part comprises a behavior management part, and the behavior management part is used for determining a behavior occurrence ratio according to the current input event; and the adjusting parameter is determined under the condition that the behavior occurrence proportion is larger than a preset value.
In some embodiments, the adjustment parameter generating part comprises a state managing part, the state managing part is provided with a preset state and a plurality of working states of the household appliance, each working state corresponds to at least one input event,
the state management part is used for enabling the current state of the household appliance to be transferred from the preset state to the current working state corresponding to the current input event according to the current input event under the condition that the current state of the household appliance is the preset state;
the behavior management part is used for determining the behavior occurrence proportion according to the total transition times of the current state and the times of the current input events in the current working state.
In some embodiments, the behavior management part is configured to determine an event operating parameter corresponding to an input event of the household appliance, where the input event includes the current input event; and the adjusting device is used for determining the adjusting parameters according to the event working parameters and the preset working parameters.
In some embodiments, the household appliance includes a storage part connected to the behavior learning part, and the storage part is configured to store the learning operation parameters according to a preset period.
In some embodiments, the household appliance includes a driving part connected to the behavior learning part, and the driving part is configured to drive the household appliance to operate according to the learning operation parameter.
The household appliance comprises a controller, wherein the controller is used for executing the control method in any one of the above embodiments.
In the household appliance, the adjustment parameters are determined according to the input current input event, and the preset working parameters are adjusted according to the adjustment parameters to obtain the learning working parameters, so that the household appliance can control the product more reasonably along with the accumulation of the use habits of the user.
The invention provides a non-volatile computer-readable storage medium containing computer-executable instructions, and when the computer-executable instructions are executed by one or more processors, the processors are caused to execute the control method of any one of the above embodiments.
In the computer-readable storage medium, the adjustment parameter is determined according to the input current input event, and the preset working parameter is adjusted according to the adjustment parameter to obtain the learning working parameter, so that the household appliance 100 can control the product more reasonably along with the accumulation of the use habits of the user.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a schematic flow chart of a control method according to an embodiment of the present invention;
FIG. 2 is a block schematic diagram of a household appliance in accordance with an embodiment of the present invention;
FIG. 3 is a state transition diagram of a control method of an embodiment of the present invention;
fig. 4 is another block diagram of a home appliance according to an embodiment of the present invention;
FIG. 5 is another schematic flow chart diagram of a control method according to an embodiment of the present invention;
fig. 6 is a schematic view of still another module of the home appliance according to the embodiment of the present invention;
FIG. 7 is a further schematic flow chart diagram of a control method in accordance with an embodiment of the present invention;
fig. 8 is a schematic view of still another module of the home appliance according to the embodiment of the present invention;
FIGS. 9-10 are flow diagrams of control methods according to embodiments of the present invention;
fig. 11 is a schematic view of still another module of the home appliance according to the embodiment of the present invention;
FIG. 12 is a further flowchart of the control method according to the embodiment of the present invention;
fig. 13 is a schematic view of still another module of the home appliance according to the embodiment of the present invention.
Description of the main element symbols:
a household appliance 100;
input component 102, sensor 104, communication component 106;
the event detection unit 200, the adjustment parameter generation unit 300, the behavior management unit 310, the state management unit 330, the behavior learning unit 500, the storage unit 700, and the drive unit 900.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, features defined as "first", "second", may explicitly or implicitly include one or more of the described features. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
In the description of the present invention, it should be noted that the terms "mounted," "connected," and "connected" are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected unless otherwise explicitly stated or limited. Either mechanically or electrically. Either directly or indirectly through intervening media, either internally or in any other relationship. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
The disclosure herein provides many different embodiments or examples for implementing different configurations of the invention. To simplify the disclosure of the present invention, the components and arrangements of specific examples are described below. Of course, they are merely examples and are not intended to limit the present invention. Furthermore, the present invention may repeat reference numerals and/or letters in the various examples, such repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. In addition, the present invention provides examples of various specific processes and materials, but one of ordinary skill in the art may recognize applications of other processes and/or uses of other materials.
Referring to fig. 1 and fig. 2, a method for controlling a household appliance 100 according to an embodiment of the present invention includes:
step S110: detecting a current input event of the home appliance 100;
step S130: generating an adjustment parameter of the home appliance 100 according to the current input event;
step S150: adjusting the preset working parameters of the household appliance 100 according to the adjustment parameters to obtain the learning working parameters.
The control method of the embodiment of the present invention may be implemented by the home appliance 100 of the embodiment of the present invention. Specifically, referring to fig. 2, the home appliance 100 includes an event detecting part 200, an adjustment parameter generating part 300, and a behavior learning part 500. The event detecting part 200 is configured to detect a current input event of the home appliance 100, the adjustment parameter generating part 300 is configured to generate an adjustment parameter of the home appliance 100 according to the current input event, and the behavior learning part 500 is configured to adjust a preset working parameter of the home appliance 100 according to the adjustment parameter to obtain a learning working parameter.
In the above-described control method of the household appliance 100 and the household appliance 100, the adjustment parameter is determined according to the input current input event, and the preset working parameter is adjusted according to the adjustment parameter to obtain the learning working parameter, so that the household appliance 100 can more reasonably control the product along with the accumulation of the use habits of the user.
It can be understood that different users may have different usage habits for the home appliance 100. The information entered by the user while using the product may reflect the user's behavior to some extent. For example, certain users typically use low gears when using range hoods, which can reflect that the user is sensitive to noise when using range hoods. In contrast, some users often use a high speed gear, which may reflect that the user desires a large suction force and is less concerned about noise. Also, when using a microwave oven, some users may prefer to use high power and perform cooking quickly, and some users may prefer to use low power and perform cooking slowly. However, for the existing household appliance 100, the operating parameters are preset and unchanged when the appliance is produced and shipped, and during the use process, the user can adjust the fire intensity and the heating time of the microwave oven according to the use habit of the user. For more complex appliances 100, more cumbersome operation steps may be required for adjustment. If the household appliance 100 is used for a long time, the use efficiency and the use experience of the household appliance 100 for the user can be influenced. In other words, the control method and the home appliance 100 according to the embodiment of the present invention analyze input information of a user when using a product, learn the user's taste, and control related functions according to the user's taste, thereby improving the user's satisfaction in the product using process.
In addition, in most cases, the input events of the household electrical appliance 100 have the same operation parameters if the operation states are the same.
The home appliance 100 includes, but is not limited to, a microwave oven, a rice cooker, a range hood, an oven, an electric steamer, a washing machine, an air conditioner, and the like.
Referring to fig. 3, in an embodiment of the present invention, the states of the household appliance 100 may include a standby state, a power saving state and an operating state. The standby state refers to a product state after a preset initialization process when the product is powered on. And when the product does not generate an event within a certain time, the standby state is switched to a power-saving state, and the power-saving state is kept until the next event is generated. The operating state may correspond to an input event, with different operating states corresponding to different input events.
For example, an input event A is generated in the power-saving state, and the product is switched to the AAA working state through the standby state; generating a B input event in a power-saving state, and switching the product to a BBB working state through a standby state; and generating an N input event in a power-saving state, and switching the product to an NNN working state through a standby state. And generating a corresponding input event in the standby state and directly switching to a corresponding working state. When a certain condition is satisfied under each working state, the system is switched to a standby state. Each time the state of the home appliance 100 is transferred, the operation module of the home appliance 100 operates according to a preset operation parameter or an adjusted operation parameter.
In addition, it is understood that the household appliance 100 has other operating states, not limited to the operating state of the household appliance 100 shown in fig. 3, and the principle of conversion between the other operating states is similar to that of the above-described embodiment. And will not be described in detail herein.
In one example, the current input event may be triggered by a user. Under the condition that the control instruction contained in the current input event does not modify the preset working parameter, the adjustment parameter can be set to 0 or other values so as to prompt that the learning working parameter obtained without adjusting the preset working parameter or the adjustment is consistent with the preset working parameter.
The operation module of the home appliance 100 is related to the kind of the home appliance 100. For example, for the range hood, the operation module of the household appliance 100 may include, but is not limited to, a fan, an LED lamp, a buzzer, a display screen, etc., and the operation parameters of the operation module may include, but are not limited to, the rotation speed and the operation duration of the fan, the brightness and the lighting timing of the LED lamp, the volume and the frequency of the buzzer, the brightness and the displayed content of the display screen, etc.
In some embodiments, the current input event of the household appliance 100 is from at least one of: an input component of the household appliance 100; sensors of the household appliance 100; a communication input of the household appliance 100.
The control method of the embodiment of the present invention may be implemented by the home appliance 100 of the embodiment of the present invention. Specifically, in an embodiment of the present invention, referring to fig. 4, the household appliance 100 may include an input component 102, a sensor 104, and a communication component 106. The input component 102, the sensor 104, and the communication component 106 are all connected to the event detection section 200. The current input events of the household appliance 100 may come from the input components 102 of the household appliance 100, from the sensors 104 of the household appliance 100, and from the communication inputs of the household appliance 100.
As such, the generation of the current input event of the home appliance 100 may be achieved in various ways. It is understood that the current input events may also vary for different types of home appliances 100.
In one embodiment, the user may form a current input event of the home appliance 100 by operating the input component 102 of the home appliance 100. Input components 102 include, but are not limited to, knobs, keys, touch screens, remote controls, and the like.
In another embodiment, the household appliance 100 may determine the signal received by the sensor 104. In case the received signal satisfies a preset condition, a current input event of the home appliance 100 is formed. Signals received by the sensor 104 include, but are not limited to, acoustic signals, optical signals, magnetic induction signals, electrical signals, and the like. The signal received by the sensor 104 may also be triggered by the user.
In addition, in the case that the signal received by the sensor 104 is an optical signal, the preset condition may be that the intensity of the optical signal is greater than or equal to a preset intensity, so that the household appliance 100 generates the current input event. It is understood that the situation where the signal received by the sensor 104 is other types of signals is similar to the above situation, and is not described herein.
In yet another embodiment, the communication component 106 of the household appliance 100 may receive the control signal for wireless transmission. After receiving the control signal corresponding to the communication input, the household appliance 100 generates a current input event according to the specific content of the control signal. The wirelessly transmitted control signal may be transmitted through a terminal in wireless communication with the household appliance 100, and the terminal includes, but is not limited to, a mobile phone, a tablet computer, a personal computer, a wearable device, and other household appliances. The wireless transmission can be performed in the modes of Bluetooth, WIFI, infrared, mobile network communication (such as 4G, 5G and the like) and the like. The user may trigger an input event of the home appliance 100 at the terminal.
Referring to fig. 5, in some embodiments, generating the adjustment parameter of the household appliance 100 according to the current input event includes:
step S310: determining a behavior occurrence ratio according to the current input event;
step S330: and determining an adjusting parameter under the condition that the action occurrence ratio is larger than a preset value.
The control method of the embodiment of the present invention may be implemented by the home appliance 100 of the embodiment of the present invention. Specifically, referring to fig. 6, the adjustment parameter generating unit 300 includes a behavior managing unit 310. The behavior management part 310 is used for determining the behavior occurrence ratio according to the current input event; and the adjusting device is used for determining the adjusting parameter under the condition that the action occurrence proportion is larger than the preset value.
Therefore, the adjustment parameters are determined only when the behavior occurrence ratio is larger than the preset value, so that the working state preferred by the user can be prevented from being judged by mistake.
In particular, in an embodiment in which the household appliance 100 is a range hood, the preset value is 0.5. The range hood has 5 fan gears, and the fan gear (predetermine operating parameter) that predetermines is first gear. When the range hood is started, the fan runs at a first gear. In this case, the detected input event includes an adjustment of the fan gear by the user, specifically, the input event of adjusting the fan gear by the user at a certain time is to change the fan gear from the first gear to the second gear, and the input event of changing the fan gear from the first gear to the third gear at a certain time. After multiple detections, the behavior management unit 310 determines a behavior occurrence ratio when the range hood enters the second gear from the first gear and a behavior occurrence ratio when the range hood enters the third gear from the first gear. For example, the number of input events of the range hood is 50, the number of times of entering the second gear from the first gear is 20, and the number of times of entering the third gear from the first gear is 30. In this case, the behavior occurrence ratio 30/50 of the range hood entering the third gear from the first gear is greater than 0.5, so that it can be determined that the third gear is the user-preferred fan gear. The adjustment parameter generating part 300 determines the corresponding adjustment parameter, that is, the adjustment parameter is up-regulated by 2 gears, so that the preset fan gear is adjusted to the third gear. Namely: under the condition that the next input event happens, the fan of the range hood can directly run at the third gear. The case where the input event is to change the gear of the fan to another gear may refer to the description of the above embodiments, and will not be described in detail herein.
In addition, the adjustment parameter may be understood as an adjustment value, which is a learning degree of change of the working parameter of the specific module due to the user behavior in a certain state. In a certain state, the more times the current input event occurs, the more likely the current input event is to be the working parameter frequently used by the user.
In the embodiment of the present invention, the behavior management unit 310 detects an event (e.g., an event input by a key, a remote controller, etc.) input by the user, which is detected by the event detection unit 200, and outputs an operation parameter generated by the current input event. The operating parameters may be used to control the operation of various operating modules of the household appliance 100.
In addition, by setting the behavior occurrence ratio, the working state with high use frequency can be easily judged, and the working state with high use frequency is also the working state frequently used by the user, so that the deviation generated by the learning working parameters generated by other different working states can be avoided.
Referring to fig. 7, in some embodiments, the household appliance 100 includes a preset state and a plurality of operating states, each of which corresponds to at least one input event. Determining the action occurrence ratio according to the current input event, comprising the following steps:
step S410: in the case that the current state of the home appliance 100 is the preset state, shifting the current state of the home appliance 100 from the preset state to a current working state corresponding to the current input event according to the current input event;
step S430: and determining the behavior occurrence ratio according to the total transition times of the current state and the current input event times in the current state.
The control method of the embodiment of the present invention may be implemented by the home appliance 100 of the embodiment of the present invention. Specifically, referring to fig. 8, the adjustment parameter generating unit 300 includes a state managing unit 330. The state management part 330 is provided with a preset state and a plurality of operating states of the home appliance 100, each of which corresponds to at least one input event. The state management part 330 is configured to, when the current state of the home appliance 100 is a preset state, transition the current state of the home appliance 100 from the preset state to a current operating state corresponding to the current input event according to the current input event; the behavior management unit 310 is configured to determine a behavior occurrence ratio according to the total number of transitions of the current state and the number of currently input events in the current operating state.
Thus, the operation state preferred by the user can be accurately determined, and the power consumption of the home appliance 100 can be reduced. It will be appreciated that the total number of switches of the current state may increase with the number of input events.
In one embodiment, the preset states of the home appliance 100 include a standby state and a power saving state. The household appliance 100 is powered on and is in a standby state after an initialization process. The household appliance 100 goes to the power saving state when no input event is generated for a certain time, and keeps the power saving state until the next input event is generated. The plurality of operating states may include an AAA operating state, a BBB operating state, an NNN operating state, and the like.
The behavior management unit 310 is configured to analyze a current input event (for example, input from a key or a remote controller) detected by the event detection unit 200 and output an operation parameter corresponding to the current input event. The state management part 330 is used for outputting operation parameters other than the non-user event, for example, some preset operation parameters or initial operation parameters.
The behavior learning unit 500 is configured to analyze differences in the operating parameters output by the behavior management unit 310 and the state management unit 330 to learn user behaviors. This can be explained by the following formula (1). Formula (1) represents a relational expression between initial operating parameters (preset operating parameters) preset by the home appliance 100 and "learning operating parameters" derived by user behavior learning.
(learning operation parameter) ij ═ initial operation parameter) ij + (operation adjustment value) ij (1)
i is power saving state, standby state, AAA working state, BBB working state, …, NNN working state;
j is job module 1, job module 2, job module 3, …, job module M.
In the formula (1), i represents the product state, and j represents the product working module.
In one example, "(work adjustment value) AAA work module 2" refers to a value at which the working parameters of work module 2 are adjusted due to user behavior learning in the AAA work state. The operation adjustment value of the home appliance 100, which does not perform the user behavior learning function, is 0 or other value. The operating adjustment value can be understood as an adjustment parameter.
The ratio between the total number of transitions to the current operating state due to the current input event and the number of times the operating parameter is changed by generating the current input event in the current operating state is a behavior occurrence ratio in the current operating state, which is defined as the following formula (2).
(action occurrence ratio) ij ═ the number of times of occurrence of user input event (i/(total number of times of transition of current operating state) i (2)
i is power saving state, standby state, AAA state, BBB state, …, NNN state;
j is job module 1, job module 2, job module 3, …, job module M.
In the formula (2), 1 time is added every time i is shifted to any one of the operating states (total number of shifts). The specific adjustment parameters are determined only when the behavior occurrence ratio in the formula (2) is larger than a preset value (the frequency of the user events is larger than a certain number of times). Otherwise, in the case that the behavior occurrence ratio is not greater than the preset value, the adjustment parameter is kept at 0 or other values, i.e., is not adjusted.
Specifically, in an embodiment where the household appliance 100 is a range hood, the preset value is 0.5, the working module is a fan, the AAA state is an on state where the fan is in the second gear, and the BBB state is an on state where the fan is in the third gear. The range hood has 5 fan gears (5 kinds of operating conditions), and the fan gear (the preset operating parameter) that predetermines is first gear (corresponds the NNN state). In the event that the range hood is started from the standby state, the fan will operate in the first gear (i.e., transition from the standby state to the NNN state). In this case, the detected input event includes an adjustment of the fan gear by the user, specifically, an input event of a certain user adjusting the fan gear is to change the fan gear to the second gear (shift to the AAA state), and an input event of a certain fan gear is to change the fan gear to the third gear (shift to the BBB state). In this case, behavior management unit 310 records the number of input events for the range hood to enter the second gear and the number of input events for the range hood to enter the third gear. For example, the total number of input events (the total number of current operating state transitions) of the range hood is 50, the number of times that the range hood enters the second gear is 20, and the number of times that the range hood enters the third gear is 30. In this case, the behavior occurrence ratio of the range hood entering the third gear is 30/50 and greater than 0.5, and the adjustment parameter generating part 300 determines that the corresponding adjustment parameter (work adjustment value) is up-shifted by 2 gears, so that the generated learned work parameter is the third gear and the preset fan gear is adjusted to the third gear. Namely: under the condition that the next input event happens, the fan of the range hood can directly run at the third gear. The case where the input event is to change the gear of the fan to another gear may refer to the description of the above embodiments, and will not be described in detail herein.
In addition, for the above embodiment, 5 fan gears can correspondingly adjust the rotation speed and the air output of the fan. The user finds out the fan gear corresponding to the rotating speed and the air output of the fan which are preferred by continuously adjusting the working gear of the fan. In this way, as the number of input events increases, the behavior management part 310 may finally determine and adjust the fan gear preferred by the user (i.e., the fan gear with the largest number of uses) to the preset fan gear. When the range hood is started later, the range hood works at the adjusted preset fan gear.
It should be noted that, each time the household appliance 100 generates an input event, the household appliance 100 records each different input event and the corresponding operating parameter of the input event. For the input event with higher occurrence frequency, the occurrence frequency and the corresponding action occurrence proportion are correspondingly higher; and vice versa. Therefore, whether the working state corresponding to the current input event is the preferred working state of the user or not can be accurately judged according to the action occurrence proportion of the current input event.
In addition, for each operating state corresponding to at least one input event, in the embodiment where the household appliance 100 is a range hood, the input event may be controlling the power and the operation duration of the range hood, the on-time and the off-time of an LED indicator, the content displayed on a display screen, the voice control information, and the like. And under the condition that the range hood enters a specified working state, inputting the at least one corresponding input event simultaneously or within a preset time length.
Referring to fig. 9, in some embodiments, in the case that the behavior occurrence ratio is greater than the predetermined value, determining the adjustment parameter includes:
step S510: determining event operating parameters corresponding to input events according to the input events of the household appliance 100, wherein the input events comprise current input events;
step S530: and determining an adjusting parameter according to the event working parameter and a preset working parameter.
The control method of the embodiment of the present invention may be implemented by the home appliance 100 of the embodiment of the present invention. Specifically, referring to fig. 6, the behavior management part 310 is configured to determine an event operating parameter corresponding to an input event according to the input event of the household appliance 100, where the input event includes a current input event; and the adjusting device is used for determining the adjusting parameters according to the event working parameters and the preset working parameters.
Therefore, the working parameters corresponding to the working state preferred by the current user can be reflected by adjusting the parameters. Specifically, when the behavior occurrence ratio of the current working state is greater than the preset value, the determined adjustment parameter will be biased to the working parameter corresponding to the current working state. It can be understood that the user is biased to adjust the operation state of the home appliance 100 according to his own usage preference when using the home appliance 100. And under the condition that the current working state is the working state preferred by the user, the adjustment parameters are biased to the working parameters corresponding to the working state preferred by the user.
Specifically, in the embodiment of the present invention, the adjustment parameter may be understood as an operation adjustment value, which may be determined by the following formula (3).
(work adjustment value) ij ═ ((user event) average work parameter) ij- (initial work parameter) ij (3)
i is power saving state, standby state, AAA state, BBB state, …, NNN state;
module 1, module 2, module 3, …, module M.
The work adjustment value determined by equation (3) may be used in equation (2). The initial operating parameter may be a preset operating parameter, and the average operating parameter is an average value of operating parameters that are changed many times due to an input event caused by a user.
It should be noted that, since the usage habit of the user usually does not change much, the change range is usually changed within a certain fixed range when the operation parameter is adjusted. Therefore, different users can be distinguished by setting a plurality of different ranges. For example, when it is recognized that the operating parameter frequently adjusted by the user 1 is within the first setting range, then when the user is recognized again later, and when the adjusted operating parameter falls within the first setting range, the household appliance 100 may determine that the user 1 is the user 1, associate the same operating parameter adjusted by the user 1 for multiple times, take an average value, obtain an average operating parameter of the event of the user 1, and further determine the operating adjustment value of the user 1.
In addition, under the condition that the users of the household appliance 100 are more, the user population base number is large, the preferences of the user population are different, the user population uses the household appliance 100 and can reflect at least one working state which is frequently used, the average working parameter is obtained in the at least one working state, and the work adjustment value is obtained, so that the household appliance 100 can be started in the working state which basically accords with the use habits of most users, and the use requirements of most people are basically met.
Referring to fig. 10, in some embodiments, the control method includes:
step S610: and storing the learning working parameters according to a preset period.
The control method of the embodiment of the present invention may be implemented by the home appliance 100 of the embodiment of the present invention. Specifically, referring to fig. 11, the household appliance 100 includes a storage unit 700 connected to the behavior learning unit 500, and the storage unit 700 is configured to store the learning operation parameters according to a preset period.
In this way, after the power failure of the household appliance 100 occurs, the previously stored learning operation parameters can be read to determine the operation parameters corresponding to the operation state of the household appliance 100. Specifically, since the working state preferred by the user is not easy to change, in one embodiment, the preset period may be set to 1 day, 3 days, or 1 week, which may enable the previously stored learning working parameters to be equal to or close to the working parameters corresponding to the working state preferred by the user. The stored learning operating parameters can be read and used after re-powering and initialization even if the product is powered off. In addition, the preset period may be adjusted and selected according to specific situations, and the preset period in other embodiments is not limited herein.
Referring to fig. 12, in some embodiments, the control method includes:
step S710: and driving the household appliance 100 to operate according to the learning operation parameters.
The control method of the embodiment of the present invention may be implemented by the home appliance 100 of the embodiment of the present invention. Specifically, referring to fig. 13, the household appliance 100 includes a driving part 900 connected to the behavior learning part 500, and the driving part 900 is configured to drive the household appliance 100 to operate according to the learning operation parameters. Therefore, the operation of the household appliance 100 can be closer to the use habit of the user, the user can be prevented from frequently operating to adjust the working state of the household appliance 100, and the use efficiency can be improved.
Specifically, the driving part 900 may be connected with a plurality of working modules, and the driving part 900 may include corresponding control circuits and hardware devices for controlling the operation of the working modules according to the learning working parameters. For example, the operation module may include a fan, an LED indicator, a display screen, etc., the learning operation parameter may include a rotation speed and an operation time of the fan, an on time and an off time of the LED indicator, a content displayed on the display screen, etc., and the driving part 900 controls the rotation speed and the operation time of the fan, the on time and the off time of the LED indicator, the content displayed on the display screen, etc., according to the learning operation parameter.
The household appliance comprises a controller, and the controller is used for executing the control method of any one of the above embodiments.
In the household appliance, the adjustment parameters are determined according to the input current input event, and the preset working parameters are adjusted according to the adjustment parameters to obtain the learning working parameters, so that the household appliance can control the product more reasonably along with the accumulation of the use habits of the user.
For example, the controller is used to detect a current input event of the home appliance 100; and adjustment parameters for generating the household appliance 100 according to the current input event; and is used for adjusting the preset working parameters of the household appliance 100 according to the adjustment parameters to obtain the learning working parameters.
In particular, the controller may include a processor, memory, and the like. The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The controller can be connected with a working module of the household appliance and is used for controlling the working module to operate.
The invention provides a non-volatile computer-readable storage medium containing computer-executable instructions, and in the case that the computer-executable instructions are executed by one or more processors, the processor is caused to execute the control method of any one of the above embodiments.
For example, in the case where the program is executed by a processor, the steps of the following control method are implemented:
step S110: detecting a current input event of the home appliance 100;
step S130: generating an adjustment parameter of the home appliance 100 according to the current input event;
step S150: adjusting the preset working parameters of the household appliance 100 according to the adjustment parameters to obtain the learning working parameters.
The computer-readable storage medium may be provided in the home appliance 100, or may be provided in a terminal such as a server, and the home appliance 100 can communicate with the terminal to obtain the corresponding program.
It is understood that the computer-readable storage medium may include: any entity or device capable of carrying a computer program, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-only Memory (ROM), Random Access Memory (RAM), software distribution medium, and the like. The computer program includes computer program code. The computer program code may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable storage medium may include: any entity or device capable of carrying computer program code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), software distribution medium, and the like.
In some embodiments of the present invention, the controller is a single chip integrated with a processor, a memory, a communication module, and the like. The processor may refer to a processor included in the controller. The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, such as an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processing module-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions.
It should be understood that portions of embodiments of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description of the specification, references to the terms "one embodiment", "some embodiments", "certain embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples", etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

Claims (16)

1. A method for controlling a household appliance, comprising:
detecting a current input event of the home appliance;
generating an adjusting parameter of the household appliance according to the current input event;
and adjusting the preset working parameters of the household appliance according to the adjustment parameters to obtain learning working parameters.
2. The control method according to claim 1, wherein the current input event of the household appliance is from at least one of:
an input component of the household appliance;
a sensor of the household appliance;
a communication input of the household appliance.
3. The control method according to claim 1, wherein generating the adjustment parameters of the household appliance according to the current input event comprises:
determining a behavior occurrence ratio according to the current input event;
and determining the adjusting parameter under the condition that the behavior occurrence proportion is larger than a preset value.
4. The control method according to claim 3, wherein the household appliance comprises a preset state and a plurality of operating states, each of the operating states corresponding to at least one input event,
determining a behavior occurrence ratio according to the current input event, comprising:
under the condition that the current state of the household appliance is the preset state, the current state of the household appliance is transferred from the preset state to the current working state corresponding to the current input event according to the current input event;
and determining the behavior occurrence proportion according to the total transfer times of the current state and the times of the current input events in the current working state.
5. The control method according to claim 3, wherein determining the adjustment parameter in the case where the behavior occurrence ratio is greater than a preset value includes:
determining event working parameters corresponding to the input events according to the input events of the household appliance, wherein the input events comprise the current input events;
and determining the adjusting parameters according to the event working parameters and the preset working parameters.
6. The control method according to claim 1, characterized by comprising:
and storing the learning working parameters according to a preset period.
7. The control method according to claim 1, characterized by comprising:
and driving the household appliance to operate according to the learning working parameters.
8. The household appliance is characterized by comprising an event detection part, an adjustment parameter generation part and a behavior learning part, wherein the adjustment parameter generation part is connected with the event detection part and the behavior learning part, and the event detection part is used for detecting a current input event of the household appliance; the adjusting parameter generating part is used for generating adjusting parameters of the household appliance according to the current input event; the behavior learning part is used for adjusting preset working parameters of the household appliance according to the adjusting parameters to obtain learning working parameters.
9. The household appliance of claim 8, wherein the current input event of the household appliance is from at least one of:
an input component of the household appliance;
a sensor of the household appliance;
a communication input of the household appliance.
10. The home appliance according to claim 8, wherein the adjustment parameter generating part comprises a behavior managing part for determining a behavior occurrence ratio according to the current input event; and the adjusting parameter is determined under the condition that the behavior occurrence proportion is larger than a preset value.
11. The household appliance according to claim 10, wherein the adjustment parameter generating part comprises a state managing part provided with a preset state and a plurality of operating states of the household appliance, each of the operating states corresponding to at least one input event,
the state management part is used for enabling the current state of the household appliance to be transferred from the preset state to the current working state corresponding to the current input event according to the current input event under the condition that the current state of the household appliance is the preset state;
the behavior management part is used for determining the behavior occurrence proportion according to the total transition times of the current state and the times of the current input events in the current working state.
12. The home appliance according to claim 10, wherein the behavior management part is configured to determine event operating parameters corresponding to input events of the home appliance, the input events including the current input event; and the adjusting device is used for determining the adjusting parameters according to the event working parameters and the preset working parameters.
13. The household appliance according to claim 8, comprising a storage part connected to the behavior learning part, the storage part being configured to store the learning operation parameters at preset periods.
14. The household appliance according to claim 8, comprising a driving part connected to the behavior learning part, wherein the driving part is configured to drive the household appliance to operate according to the learning operation parameters.
15. A household appliance, characterized by comprising a controller for performing the control method of any one of claims 1 to 7.
16. A non-transitory computer-readable storage medium containing computer-executable instructions that, if executed by one or more processors, cause the processors to perform the control method of any one of claims 1-7.
CN202010263779.1A 2020-04-07 2020-04-07 Control method of household appliance, household appliance and computer readable storage medium Pending CN113495488A (en)

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