CN111743474A - Cleaning device, control method and device thereof, electronic device and storage medium - Google Patents
Cleaning device, control method and device thereof, electronic device and storage medium Download PDFInfo
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- CN111743474A CN111743474A CN201910251465.7A CN201910251465A CN111743474A CN 111743474 A CN111743474 A CN 111743474A CN 201910251465 A CN201910251465 A CN 201910251465A CN 111743474 A CN111743474 A CN 111743474A
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- 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
- A47L11/00—Machines for cleaning floors, carpets, furniture, walls, or wall coverings
- A47L11/40—Parts or details of machines not provided for in groups A47L11/02 - A47L11/38, or not restricted to one of these groups, e.g. handles, arrangements of switches, skirts, buffers, levers
- A47L11/4011—Regulation of the cleaning machine by electric means; Control systems and remote control systems therefor
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Abstract
The invention discloses cleaning equipment, a control method and a control device of the cleaning equipment, electronic equipment and a storage medium, and relates to the technical field of household electrical appliance equipment. The method comprises the following steps: acquiring starting-up state information of the cleaning equipment; determining a control strategy according to the acquired state information, wherein the control strategy is obtained by training according to the use data of the user and/or correcting a default control strategy; and controlling the running state of the cleaning equipment according to the determined control strategy. In the technical scheme, based on a control strategy which is trained and/or corrected in advance and combines with use data of a user, the corresponding control strategy is determined by acquiring the starting state information of the cleaning equipment, and the running state of the cleaning equipment is automatically controlled; not only can self-adaptation user's use habit, automatic adjustment cleaning device's operating parameter, and need not user's manual regulation, improved the operating efficiency moreover, it is more intelligent, promoted user experience.
Description
Technical Field
The invention relates to the technical field of household appliances, in particular to a cleaning device, a control method and a control device of the cleaning device, electronic equipment and a storage medium.
Background
Along with the improvement of living standard of people, cleaning equipment such as a sweeper, a dust collector and the like can be widely moved into each family. At present, when a user uses cleaning equipment such as a sweeper and a dust collector to clean, the cleaning equipment is usually in a default running state after being started, the user needs to manually adjust to the running state which is habituated to the user at each time, user operation is increased, and the problem of readjustment caused by misoperation of the user is inevitable.
Disclosure of Invention
The main object of the present invention is to propose a cleaning device and a control method, an apparatus, an electronic device and a storage medium therefor, which aim at solving at least one of the above mentioned technical problems to a first extent.
To achieve the above object, a first aspect of the present invention provides a control method of a cleaning apparatus, the method including:
acquiring starting-up state information of the cleaning equipment;
determining a control strategy according to the state information; the control strategy is obtained by training according to the use data of the cleaning equipment used by the user and/or modifying a default control strategy according to the use data of the cleaning equipment used by the user;
and controlling the running state of the cleaning equipment according to the determined control strategy.
The control method of the cleaning equipment provided by the invention determines a corresponding control strategy by acquiring the starting state information of the cleaning equipment based on a control mode which is trained and/or corrected in advance and combines the use data of a user, and controls the running state of the cleaning equipment according to the determined control strategy; the operation parameters of the cleaning equipment can be automatically adjusted in a self-adaptive manner according to the use habits of users, and the manual adjustment of the users is not needed; and the operating efficiency is improved, the system is more intelligent, and the user experience is improved.
In addition, the control method of the cleaning device provided by the invention can also have the following additional technical characteristics:
optionally, the determining a control policy according to the state information includes:
and acquiring the control strategy in the corresponding relation between the state information and the control strategy according to the state information.
Optionally, the method further includes: acquiring identity information of a user;
the determining a control strategy according to the state information includes:
determining the user identification of the user according to the identity information;
and determining a control strategy according to the state information and the user identification.
Optionally, the method further comprises:
collecting at least one of starting-up state information of the cleaning equipment, operation data of the cleaning equipment, control data of a user and environment data;
training the acquired data to obtain a control strategy, and/or correcting a default control strategy according to the acquired data.
Optionally, the training the acquired data to obtain a control strategy, and/or correcting a default control strategy according to the acquired data, includes:
preprocessing the acquired data to obtain initial data;
and training the initial data to obtain a control strategy, and/or correcting a default control strategy according to the initial data.
Optionally, the preprocessing the acquired data includes: and performing at least one of filtering operation, denoising operation and correcting operation on the acquired data.
To achieve the above object, a second aspect of the present invention provides a control device of a cleaning apparatus, comprising:
the acquisition module is used for acquiring the starting state information of the cleaning equipment;
the determining module is used for determining a control strategy according to the state information; the control strategy is obtained by training according to the use data of the cleaning equipment used by the user and/or modifying a default control strategy according to the use data of the cleaning equipment used by the user;
and the control module is used for controlling the running state of the cleaning equipment according to the control strategy determined by the determination module.
The control device of the cleaning equipment determines the corresponding control strategy by acquiring the starting state information of the cleaning equipment based on the control strategy which is trained and/or corrected in advance and combines the use data of a user, and controls the running state of the cleaning equipment according to the determined control strategy; the operation parameters of the cleaning equipment can be automatically adjusted in a self-adaptive manner according to the use habits of users, and the manual adjustment of the users is not needed; and the operating efficiency is improved, the system is more intelligent, and the user experience is improved.
In addition, the control device of the cleaning equipment provided by the invention can also have the following additional technical characteristics:
optionally, the determining module is specifically configured to:
and acquiring the control strategy in the corresponding relation between the state information and the control strategy according to the state information.
Optionally, the obtaining module is further configured to obtain identity information of the user;
the determining module is further configured to determine a user identifier of the user according to the identity information; and determining a control strategy according to the state information and the user identification.
Optionally, the apparatus further comprises:
the cleaning device comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring at least one of state information of starting up of the cleaning device, operation data of the cleaning device, control data of a user and environment data;
and the training module is used for training the initial data to obtain a control strategy and/or correcting a default control strategy according to the initial data.
To achieve the above object, a third aspect of the present invention provides a cleaning apparatus comprising: the control device according to the second aspect of the present invention.
The cleaning equipment provided by the invention determines a corresponding control strategy by acquiring the starting state information of the cleaning equipment based on a control strategy which is trained and/or corrected in advance and combines the use data of a user, and controls the running state of the cleaning equipment according to the determined control strategy; the operation parameters of the cleaning equipment can be automatically adjusted in a self-adaptive manner according to the use habits of users, and the manual adjustment of the users is not needed; and the operating efficiency is improved, the system is more intelligent, and the user experience is improved.
To achieve the above object, a fourth aspect of the present invention provides an electronic apparatus comprising: a memory and a processor;
the memory has stored thereon a computer program which, when executed by the processor, performs the method of the first aspect of the invention.
The electronic equipment provided by the invention determines a corresponding control strategy by acquiring the starting state information of the cleaning equipment based on a control strategy which is trained and/or corrected in advance and combines the use data of a user, and controls the running state of the cleaning equipment according to the determined control strategy; the operation parameters of the cleaning equipment can be automatically adjusted in a self-adaptive manner according to the use habits of users, and the manual adjustment of the users is not needed; and the operating efficiency is improved, the system is more intelligent, and the user experience is improved.
To achieve the above object, a fifth aspect of the present invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of the first aspect of the present invention.
The computer-readable storage medium provided by the invention is characterized in that when a computer program is executed by a processor, based on a control strategy which is trained and/or corrected in advance and combines with use data of a user, the corresponding control strategy is determined by acquiring the starting state information of the cleaning equipment, and the running state of the cleaning equipment is controlled according to the determined control strategy; the operation parameters of the cleaning equipment can be automatically adjusted in a self-adaptive manner according to the use habits of users, and the manual adjustment of the users is not needed; and the operating efficiency is improved, the system is more intelligent, and the user experience is improved.
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
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the application. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a flow chart of a method for controlling a cleaning apparatus according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method for controlling a cleaning apparatus according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a control device of a cleaning apparatus according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a control device of a cleaning apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a cleaning device according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
This application is mainly to among the correlation technique, the user is using cleaning equipment such as machine of sweeping the floor, dust catcher to carry out cleaning, after cleaning equipment starts, is in acquiescent running state usually, and the user need manually adjust to the running state that self is used to at every turn, has not only increased user operation, and inevitable can cause the problem of readjustment because of user's maloperation moreover. For example, when a user uses the vacuum cleaner, the default operating gear after the vacuum cleaner is started is the first gear, and the user needs to manually adjust the operating gear to the second gear of the habit each time the user uses the vacuum cleaner; for another example, when a user wants to adjust the power of the dust collector, someone presses a doorbell, and at this time, the start-stop button of the dust collector is probably operated by mistake due to the fact that the user is going to open the door suddenly, so that the dust collector enters a shutdown state, and at this time, the user needs to restart the dust collector, readjust all the operating parameters of the dust collector, and increase user operations.
In contrast, the embodiment of the application provides a control method for cleaning equipment, which learns a control strategy adapted to the use habit of a user and/or corrects a default control strategy by collecting control data, environment data, starting-up state data and the like of the user, so that when the user uses the cleaning equipment to perform cleaning operation, the corresponding control strategy is adopted to control the running state of the cleaning equipment according to the starting-up state data of the cleaning equipment; with self-adaptation user's use habit, relevant operating parameter of automatically regulated, and need not user's manual regulation, not only improved the operating efficiency, more possess the intellectuality moreover, promoted user experience.
The following detailed description of the cleaning device, the control method, the control device, the electronic device, and the storage medium provided in the present application is made with reference to the accompanying drawings.
Fig. 1 is a schematic flowchart of a control method of a cleaning apparatus according to an embodiment of the present application; as shown in fig. 1, the method includes:
step 101: acquiring starting-up state information of the cleaning equipment;
in the embodiment, when the cleaning device finishes cleaning operation every time, the information such as the total working time from the first use of the cleaning device to the current time and the used time of the parts such as the HEPA or the filter cotton are recorded; taking a cleaning device as an example of a dust collector for explanation, the state information includes the current total working time of the dust collector, the current used time of the HEPA or the filter cotton, the current dust amount in the dust bag, the current posture of the floor brush, the current power of the dust collector, the current starting time period, the current altitude and the like; the current posture of the floor brush comprises the current state of the floor brush, for example, the floor brush is in a horizontal state facing the ground currently, or the floor brush is in a vertical state perpendicular to the ground currently, and the like, taking the ground as a horizontal direction; the boot-up period is, for example, morning, afternoon, etc.
It should be noted that, in practical applications, the type of the status information may be set according to the type of the cleaning device.
Step 102: determining a control strategy according to the acquired state information, wherein the control strategy is obtained by training according to the use data of the cleaning equipment used by the user, and/or is obtained by correcting a default control strategy according to the use data of the cleaning equipment used by the user;
specifically, a control strategy is obtained from a corresponding relationship between the state information and the control strategy according to the obtained state information, wherein the control strategy comprises a control model and/or control parameters and the like.
In the embodiment, in order to realize automatic control of the cleaning equipment, the corresponding relation between the starting-up state information of the cleaning equipment and the control strategy is established; further, the control strategy is obtained by training according to the use data of the cleaning device used by the user, and/or is obtained by modifying the default control strategy according to the use data of the cleaning device used by the user; the use data comprises control data, environment data, starting-up state information of the cleaning equipment and the like of all users, the use habits of the users are combined, and the self state of the cleaning equipment is considered, so that when the users use the cleaning equipment to perform cleaning work, corresponding control strategies can be determined according to the current state information of the cleaning equipment, the running state of the cleaning equipment can be controlled automatically according to the determined control strategies in the follow-up process, and manual adjustment of the users is not needed. For example, the obtained current usage time of the hypa is 280 hours, the current power of the cleaning device is 1 gear, and the user is used to use 2 gears, while the filtering effectiveness of the hypa is reduced relative to a new hypa because the current usage time of the hypa is 280 hours, so in order to meet the usage habits of the user and guarantee the cleaning efficiency of the cleaning device at the 2 gears, according to the currently obtained state information, the determined control parameter comprises adjusting the gear to 2.5 gears to compensate the reduction of the cleaning efficiency of the cleaning device caused by the reduction of the filtering effectiveness of the hypa. The training process of the specific control strategy will be described in detail later.
Step 103: and controlling the running state of the cleaning equipment according to the determined control strategy.
For example, the current 1 gear is automatically adjusted to 2.5 gears according to the determined control parameter "2.5 gears are required for gears".
Therefore, based on a control strategy which is trained and/or corrected in advance and combines with the use data of a user, the corresponding control strategy is determined by acquiring the state information of the cleaning equipment, and the running state of the cleaning equipment is controlled according to the determined control strategy; not only can self-adaptation user's use habit, automatic adjustment cleaning device's operating parameter, and need not user's manual regulation, improved cleaning device's operating efficiency moreover, it is more intelligent, promoted user experience.
Based on the above embodiment, another embodiment of the present application further provides a control method for a cleaning device, and in this embodiment, a trained and/or modified control strategy is further associated with each user, so as to more accurately adapt to the usage habit of each user to control the cleaning device. Specifically, with reference to fig. 2, the method comprises:
step 201: acquiring starting state information of the cleaning equipment and identity information of a user;
specifically, state information of starting up of the cleaning equipment and at least one of fingerprint information, iris information, voice information and an identification code of a user are obtained; the state information of the cleaning device during the startup process can refer to the related description in the foregoing embodiments, and is not described herein again.
The cleaning device (such as a dust collector) in the embodiment comprises an information acquisition module, wherein the information acquisition module can be embedded into other control modules of the cleaning device, such as a start-stop control module of the cleaning device, based on the fingerprint information of the user; as an example, when a user performs a cleaning operation using the cleaning device, the start-stop control module may be operated first, and fingerprint information of the user may be acquired while the cleaning device is powered on. The information acquisition module may also be an independent module, for example, when a user uses the cleaning device to perform cleaning operation, the start-stop control module may be operated first, and after the cleaning device is powered on, the user touches the information acquisition module to acquire fingerprint information.
Based on the iris information of the user, the information acquisition module can also be embedded into other control modules of the cleaning equipment, such as a start-stop control module of the cleaning equipment; as an example, when a user performs a cleaning operation using the cleaning device, the start-stop control module may be operated first, and after the cleaning device is powered on, the start-stop control module may be watched to perform the acquisition of the iris information. The information acquisition module may also be an independent module, for example, when a user uses the cleaning device to perform cleaning operation, the start-stop control module may be operated first, and after the cleaning device is powered on, the information acquisition module is watched to perform acquisition of iris information.
Based on the voice information of the user, the information acquisition module can be specifically a voice recognition module; as an example, when a user uses the cleaning device to perform a cleaning operation, the start-stop control module may be operated first, and after the cleaning device is powered on, a voice such as "i am a king" or other content may be uttered for the voice recognition module to collect voice information of the user.
Based on the obtained identification code of the user, the information acquisition module can be specifically a human-computer interaction interface or a key; as an example, when a user uses the cleaning device to perform cleaning operation, the start-stop control module may be operated first, and after the cleaning device is powered on, the user inputs the own identification code in the human-computer interaction interface or the operation key; the identification code is used for identifying a unique user, and the user can set the identification code when the cleaning equipment is used for the first time.
Step 202: determining a user identifier according to the acquired identity information;
specifically, according to the acquired identity information, a corresponding user identifier is acquired in the corresponding relationship between the identity information and the user identifier.
In this embodiment, the user identifier is used to identify a unique user, and when the cleaning device acquires one piece of user information, it determines whether the corresponding relationship between the stored user information and the user identifier contains the currently acquired user information, and when it is determined that the corresponding user identifier does not exist, allocates the corresponding user identifier, and stores the currently acquired user information and the allocated user identifier in a corresponding manner.
Step 203: determining a control strategy according to the acquired state information and the determined user identification, wherein the control strategy is obtained by training according to the use data of the cleaning equipment used by the user and/or by correcting the default control strategy according to the use data of the cleaning equipment used by the user;
optionally, the state information and the user identifier are respectively associated with each control policy, and a first control policy may be determined according to the obtained state information and the association between the state information and the control policy; and screening the matched control strategy from the first control strategy according to the determined user identification and the corresponding relation between the user identification and the control strategy, and subsequently controlling the running state of the cleaning equipment according to the screened matched control strategy. Or, first, according to the determined user identifier and the corresponding relation between the user identifier and the control strategy, determining a second control strategy; and screening the matched control strategy from the second control strategy according to the acquired state information and the corresponding relation between the state information and the control strategy, and subsequently controlling the running state of the cleaning equipment according to the screened matched control strategy.
Or, in this embodiment, the state information and the user identifier are used together as matching conditions, and a unique corresponding relationship is established with the control policy; and according to the currently acquired state information and the determined user identification, acquiring a corresponding control strategy in the unique corresponding relation, and then automatically controlling the running state of the cleaning equipment according to the acquired control strategy.
Further, the control strategy is trained according to the user data of the cleaning device, and/or the default control strategy is modified according to the user data of the cleaning device, wherein the user data includes user operation data, environmental data, status information of the cleaning device, and the like, and the specific training process will be described in detail later.
Step 204: and controlling the running state of the cleaning equipment according to the determined control strategy.
Therefore, by establishing a corresponding relation between the state information and the user identification and the control strategy, when a certain user uses the cleaning equipment, the user information of the user is obtained to determine the corresponding user identification, and the corresponding control strategy is obtained in the corresponding relation according to the obtained state information and the determined user identification, so that the running state of the cleaning equipment is automatically controlled according to the obtained control strategy in the following; not only can the use habit of every user of self-adaptation, the operating parameter of automatic adjustment cleaning device, and need not user's manual regulation, improved cleaning device's operating efficiency moreover, it is more intelligent, promoted user experience.
Based on any one of the above embodiments, in an embodiment of the present application, the method further includes:
step A1: collecting at least one of starting-up state information of the cleaning equipment, operation data of the cleaning equipment, control data of a user and environment data;
the state information of the cleaning device during the startup process can be referred to the related description in the foregoing embodiments; the operation data comprises current, voltage, alarm times, electric quantity state, operation parameters of the existing software control program and the like; the manipulation data includes an operation mode (e.g., an automatic mode, a manual mode, etc.) of the cleaning apparatus selected by the user, a gear position of the cleaning apparatus set by the user, a cleaning time period in which the user uses the cleaning apparatus at the same position, etc.; the environmental data includes cleaning location (e.g., kitchen, living room, bedroom, etc.), type of cleaning object (e.g., floor, carpet, tile, etc.), amount of dust in the environment to be cleaned, climate air pressure data (power of the cleaning device can be compensated according to different air pressure values to correct the power value), etc.
In practical application, any combination of the data can be selected according to the type of the trained control model and the type of the control parameter to be trained.
Step A2: training the acquired data to obtain a control strategy, and/or correcting a default control strategy according to the acquired data.
In the embodiment of the application, a default control strategy can be preset in the cleaning equipment, and the default control strategy can be corrected according to the acquired data to obtain a control strategy of a self-adaptive user, for example, the cleaning equipment performs image recognition on the acquired indoor image, a default image recognition model is preset in the cleaning equipment, and due to different home furnishing hues, different illumination intensities and the like in different families, the recognition accuracy of the default image recognition model can be different for different families, so that the default image recognition model can be corrected according to the acquired data to obtain an image recognition model suitable for the corresponding family; in this embodiment, the control strategy may also be obtained by training the collected data.
Specifically, preprocessing acquired data to obtain initial data; and training the obtained initial data to obtain a control strategy, and/or correcting a default control strategy according to the initial data.
In one embodiment of the present application, the pre-processing of the acquired data includes, but is not limited to, performing at least one of a filtering operation, a denoising operation, and a correcting operation on the acquired data; in practical application, the setting can be carried out according to the requirement.
Further, in an embodiment of the present application, after preprocessing the collected data according to factors such as differences in the collected data and requirements for model accuracy, the method may further include: the data characteristics of the initial data are extracted, the data characteristics are fused and the like, and the data characteristics can be set according to needs in practical application.
In an embodiment of the present application, taking the cleaning apparatus as a vacuum cleaner as an example for description, the control mode may include a gear control model; correspondingly, when the gear control model is trained, the collected data comprises the current total working time of the dust collector, the current used time of the HEPA or the filter cotton, the starting time period (such as the morning and the afternoon) of the dust collector, the altitude of the dust collection suction position, the use time of the user at different gears, the frequency of the user using different gears, the frequency of gear switching of the user, the times of dust collection of the user at the same position, the power used when different materials are cleaned, the cleaning time at different cleaning positions, the real-time voltage and current value of the cleaning equipment and the like; denoising the acquired data, for example, removing the maximum value and the minimum value in the data such as the use duration, the gear switching frequency, the frequency and the like to ensure the smoothness of the data; removing the time length with the use time length being less than the preset value, for example, the preset value is 10 seconds, and when the use time length of a certain power is less than 10 seconds, the use time length is very short probably because the user mistakenly adjusts the gear; and analyzing and training the de-noised data to obtain a gear control model and control parameters adaptive to the gear use habit of the user, and correspondingly storing the obtained gear control model and control parameters with the starting state information of the cleaning equipment or with the starting state information of the cleaning equipment and the user identification. The control parameters may include operation parameters of the cleaning device, for example, the default initial power of the cleaning device is first gear, the analysis result shows that the usage habit of the user is second gear, after the user is identified, the initial power is automatically adjusted to second gear, and then the gear is adjusted timely according to the gear control model. The control parameters may also include parameters in a control model, and the like.
In one embodiment of the present application, which is described with respect to a cleaning apparatus as a vacuum cleaner, the control model may include a floor brush control model. Correspondingly, when the floor brush control model is trained, the collected data comprises the current total working time of the dust collector, the current used time of the HEPA or the filter cotton, the starting time period (such as the morning, the afternoon and the like) of the dust collector, the moving direction of the floor brush, the moving distance of the floor brush in each direction, the cleaning time of the floor brush when different materials are cleaned, the times of the floor brush for cleaning back and forth at the same place, the cleaning state (such as being lifted, being pressed on the ground and the like) of the floor brush and the like. The collected data can be subjected to denoising processing and then analyzed and trained to obtain a floor brush control model and control parameters adaptive to the use habits of users, and the obtained floor brush control model and control parameters are stored correspondingly to the starting operation state information of the dust collector or the starting operation state information of the dust collector and the user identification. For example, when the initial data is analyzed, the user can clean the carpet back and forth for multiple times at the same position, and when the floor brush is controlled according to the floor brush control model, the suction rate can be automatically adjusted when the floor material is detected to be the carpet.
In one embodiment of the present application, which is described by taking a cleaning device as an example of a vacuum cleaner, the control model may include a full-flow control model, that is, the control model performs overall control on various components of the vacuum cleaner. Correspondingly, when the full-flow control model is trained, the acquired data includes start-stop data, power gear data, working mode data, time data of a clock and a timer, position data, air pressure data and the like of the start-stop control module, and the subdivision of each data can be referred to the above description. The collected data can be subjected to digital-to-analog conversion firstly to obtain analog signals, signal characteristics of the analog signals are extracted, operations such as weighted fusion and the like are carried out on the signal characteristics to obtain a full-flow control model and control parameters adaptive to user habits, the obtained full-flow control model and control parameters are correspondingly stored with starting-up state information of the dust collector or the starting-up state information of the dust collector and a user identifier, and accordingly gear, a floor brush, a fan, a working mode and the like of the cleaning equipment can be controlled in all directions according to different starting-up state information or different starting-up state information and different users by adopting different full-flow control models and control parameters.
In the above embodiment, the collected data is analyzed and trained to obtain the corresponding control model and control parameters, and only the control model or only the control parameters may be trained, which is not specifically limited in this application. Further, the control model is not limited to the power control model, the floor brush control model and the full-flow control model, and can be used for training the control models and/or control parameters of other parts of the cleaning equipment as required in practical application.
Therefore, by acquiring the starting state information of the cleaning equipment, the operation data of the cleaning equipment, the control data of a user, the environmental data and the like, training the acquired data to obtain a corresponding control strategy, and/or correcting a default control strategy according to the acquired data; the control strategy is corresponding to the starting state information of the cleaning equipment or corresponding to the starting state information of the cleaning equipment and the user identification, so that when a user uses the cleaning equipment for cleaning, the corresponding control strategy can be adopted to adapt to the use habit of the user, the running state of the cleaning equipment is automatically controlled, manual adjustment is not needed when the user uses the cleaning equipment at each time, the running efficiency is improved, the intelligent cleaning device is more intelligent, and the user experience is improved.
Further, in an embodiment of the present application, the method further includes: updating the control strategy;
in consideration of the fact that the use habits of the user are not constant, in the embodiment, the control data of the user, the environmental data, the operation data of the cleaning equipment and the like are periodically collected, the control strategy is trained, and the currently stored control strategy is updated to the new control strategy obtained by training, so that the timeliness of the control strategy is ensured, the control strategy is more effectively adapted to the use habits of the user, and the accuracy of automatic control is improved.
The above is a control method of a cleaning device provided in the embodiment of the present application, and corresponding to the above method, the present invention also provides a control device of a cleaning device, and since an implementation scheme for solving the problem of the device is similar to the above method, corresponding contents to the method part may refer to the detailed description of the above method embodiment, and are not repeated in the following. It is understood that the apparatus provided in the present application may include a unit or a module capable of performing each step of the above method examples, and the unit or the module may be implemented by hardware, software or a combination of hardware and software, and the present invention is not limited thereto. The following description is made with reference to fig. 3 and 4.
Fig. 3 is a schematic structural diagram of a control device of a cleaning apparatus according to an embodiment of the present application, as shown in fig. 3, the control device includes:
an obtaining module 301, configured to obtain state information of a cleaning device during startup;
a determining module 302, configured to determine a control policy according to the state information; the control strategy is obtained by training according to the use data of the cleaning equipment used by the user and/or modifying a default control strategy according to the use data of the cleaning equipment used by the user;
a control module 303 for controlling the operational state of the cleaning device according to the control strategy determined by the determination module 302.
In an embodiment of the present application, the determining module 302 is specifically configured to:
and acquiring the control strategy in the corresponding relation between the state information and the control strategy according to the state information.
In an embodiment of the present application, the obtaining module 301 is further configured to obtain identity information of a user;
a determining module 302, configured to determine a user identifier of the user according to the identity information; and determining a control strategy according to the state information and the user identification.
In one embodiment of the present application, as shown in fig. 4, the apparatus further comprises:
the acquisition module 304 is used for acquiring at least one of the starting state information of the cleaning equipment, the operation data of the cleaning equipment, the control data of a user and the environmental data;
a training module 305, configured to train the data collected by the collection module 304 to obtain a control strategy, and/or modify a default control strategy according to the collected data.
In one embodiment of the present application, training module 305 includes:
the preprocessing submodule is used for preprocessing the data acquired by the acquisition module 304 to obtain initial data;
and the training submodule is used for training the initial data to obtain a control strategy and/or correcting a default control strategy according to the initial data.
In an embodiment of the present application, the preprocessing sub-module is specifically configured to: the data acquired by the acquisition module 304 is subjected to at least one of a filtering operation, a denoising operation, and a correcting operation.
The control device of the cleaning device provided by the embodiment of the application has the same effect as the control method of the cleaning device provided by the previous embodiment, in view of the same inventive concept.
In addition, an embodiment of the present application also provides a cleaning apparatus, as shown in fig. 5, the cleaning apparatus includes: the control device of the cleaning device according to the foregoing embodiment.
The cleaning equipment in the embodiment of the application can be a dust collector, a sweeper and the like; it is noted that other components of the cleaning device are well known to those skilled in the art and will not be described in detail herein.
The cleaning equipment in the embodiment of the application determines a corresponding control strategy by acquiring startup state information based on a control strategy which is trained and/or corrected in advance and combines use data of a user, and controls the running state of the cleaning equipment according to the determined control strategy; the operation parameters of the cleaning equipment can be automatically adjusted in a self-adaptive manner according to the use habits of users, and the manual adjustment of the users is not needed; and the operating efficiency is improved, the system is more intelligent, and the user experience is improved.
In order to implement the foregoing embodiments, an embodiment of the present application further provides an electronic device, including: a memory and a processor;
wherein the memory has stored thereon a computer program which, when executed by the processor, implements the method of controlling the cleaning apparatus of any of the preceding embodiments.
The electronic equipment in the embodiment of the application determines a corresponding control strategy by acquiring startup state information based on a control strategy which is trained and/or corrected in advance and combines use data of a user, and controls the running state of the cleaning equipment according to the determined control strategy; the operation parameters of the cleaning equipment can be automatically adjusted in a self-adaptive manner according to the use habits of users, and the manual adjustment of the users is not needed; and the operating efficiency is improved, the system is more intelligent, and the user experience is improved.
To achieve the above embodiments, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the control method of the cleaning device according to any one of the foregoing embodiments.
Further, a computer-readable storage medium may be any electronic, magnetic, optical, or other physical storage device that can contain or store information such as executable instructions, data, and the like. For example, the machine-readable storage medium may be: a RAM (random Access Memory), a volatile Memory, a non-volatile Memory, a flash Memory, a storage drive (e.g., a hard drive), a solid state drive, any type of storage disk (e.g., an optical disk, etc.), or similar storage medium, or a combination thereof.
In the computer-readable storage medium of the embodiment of the application, when a computer program is executed by a processor, based on a control strategy which is trained and/or corrected in advance and combines use data of a user, the corresponding control strategy is determined by acquiring state information of starting up of the cleaning equipment, and the running state of the cleaning equipment is controlled according to the determined control strategy; the operation parameters of the cleaning equipment can be automatically adjusted in a self-adaptive manner according to the use habits of users, and the manual adjustment of the users is not needed; and the operating efficiency is improved, the system is more intelligent, and the user experience is improved.
It should be noted that:
in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only for the preferred embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (13)
1. A control method of a cleaning apparatus, characterized by comprising:
acquiring starting-up state information of the cleaning equipment;
determining a control strategy according to the state information; the control strategy is obtained by training according to the use data of the cleaning equipment used by the user and/or modifying a default control strategy according to the use data of the cleaning equipment used by the user;
and controlling the running state of the cleaning equipment according to the determined control strategy.
2. The method of claim 1, wherein determining a control strategy based on the status information comprises:
and acquiring the control strategy in the corresponding relation between the state information and the control strategy according to the state information.
3. The method of claim 1, further comprising: acquiring identity information of a user;
the determining a control strategy according to the state information includes:
determining the user identification of the user according to the identity information;
and determining a control strategy according to the state information and the user identification.
4. The method according to any one of claims 1-3, characterized in that the method further comprises:
collecting at least one of starting-up state information of the cleaning equipment, operation data of the cleaning equipment, control data of a user on the cleaning equipment and environment data;
training the acquired data to obtain a control strategy, and/or correcting a default control strategy according to the acquired data.
5. The method of claim 4, wherein training the collected data to obtain a control strategy and/or modifying a default control strategy based on the collected data comprises:
preprocessing the acquired data to obtain initial data;
and training the initial data to obtain a control strategy, and/or correcting a default control strategy according to the initial data.
6. The method of claim 5, wherein the pre-processing the acquired data comprises: and performing at least one of filtering operation, denoising operation and correcting operation on the acquired data.
7. A control device for a cleaning apparatus, comprising:
the acquisition module is used for acquiring the starting state information of the cleaning equipment;
the determining module is used for determining a control strategy according to the state information; the control strategy is obtained by training according to the use data of the cleaning equipment used by the user and/or modifying a default control strategy according to the use data of the cleaning equipment used by the user;
and the control module is used for controlling the running state of the cleaning equipment according to the control strategy determined by the determination module.
8. The control device according to claim 7, wherein the determining module is specifically configured to:
and acquiring the control strategy in the corresponding relation between the state information and the control strategy according to the state information.
9. The apparatus of claim 7,
the acquisition module is also used for acquiring the identity information of the user;
the determining module is further configured to determine a user identifier of the user according to the identity information; and determining a control strategy according to the state information and the user identification.
10. The control device according to any one of claims 7 to 9, characterized in that the device further comprises:
the cleaning device comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring at least one of state information of starting up of the cleaning device, operation data of the cleaning device, control data of a user and environment data;
and the training module is used for training the initial data to obtain a control strategy and/or correcting a default control strategy according to the initial data.
11. A cleaning apparatus, comprising: a control device as claimed in any one of claims 7 to 10.
12. An electronic device, comprising: a memory and a processor;
the memory has stored thereon a computer program which, when executed by the processor, implements the method of any of claims 1-6.
13. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-6.
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| CN201910251465.7A CN111743474A (en) | 2019-03-29 | 2019-03-29 | Cleaning device, control method and device thereof, electronic device and storage medium |
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| CN201910251465.7A CN111743474A (en) | 2019-03-29 | 2019-03-29 | Cleaning device, control method and device thereof, electronic device and storage medium |
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