CN110938969A - Intelligent clothes washing method, device and equipment and washing machine - Google Patents
Intelligent clothes washing method, device and equipment and washing machine Download PDFInfo
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Abstract
The invention discloses an intelligent clothes washing method, which comprises the following steps: when a user detection instruction is responded, whether the current user is a newly added user is judged; when the current user is a non-newly added user, displaying a recommended washing mode corresponding to the non-newly added user; the recommended washing mode is obtained by calculation according to historical parameters of a user; when the recommended washing mode is selected by the non-newly added user, judging whether the non-newly added user carries out parameter change on the recommended washing mode; if so, updating the recommended washing mode according to the changed parameters when the changed parameters are within the parameter threshold value corresponding to the recommended washing mode, and executing washing operation according to the recommended washing mode after the parameters are changed; if not, the washing operation is executed according to the recommended washing mode. The embodiment of the invention also provides an intelligent washing device and a washing machine. By adopting the embodiment of the invention, the washing mode can be recommended according to the use habit of the user, and the user experience is improved.
Description
Technical Field
The invention relates to the technical field of washing, in particular to an intelligent washing method, device, equipment and washing machine.
Background
Along with the development and popularization of washing machine products, the dependence degree of people on the washing machine is higher and higher, the washing mode of people by adopting the washing machine becomes a common washing mode of modern people, the requirements of people on the quality and the cleanness of worn articles are higher and higher, and the washing frequency of people using the washing machine is synchronously improved. However, most washing machines in the market have a washing mode in advance when leaving a factory, and a user only uses the washing machine in the washing mode, which cannot be changed according to the actual needs of the user, resulting in poor experience of the user in using the washing machine.
Disclosure of Invention
The embodiment of the invention aims to provide an intelligent clothes washing method, device and equipment and a washing machine, which can recommend a washing mode according to the use habit of a user and improve the user experience.
In order to achieve the above object, an embodiment of the present invention provides an intelligent laundry method, including:
when a user detection instruction is responded, whether the current user is a newly added user is judged;
when the current user is a non-newly added user, displaying a recommended washing mode corresponding to the non-newly added user; the recommended washing mode is obtained by calculation according to historical parameters of a user;
when the recommended washing mode is selected by the non-newly added user, judging whether the non-newly added user carries out parameter change on the recommended washing mode;
if so, updating the recommended washing mode according to the changed parameters when the changed parameters are within the parameter threshold value corresponding to the recommended washing mode, and executing washing operation according to the recommended washing mode after the parameters are changed; if not, the washing operation is executed according to the recommended washing mode.
Compared with the prior art, the intelligent clothes washing method disclosed by the embodiment of the invention comprises the steps of firstly judging whether a current user is a newly added user or not, and displaying a recommended washing mode corresponding to a non-newly added user when the current user is judged to be the non-newly added user because each operation of the user on the washing mode is stored; then, when the recommended washing mode is selected by the non-newly added user, judging whether the non-newly added user carries out parameter change on the recommended washing mode; and finally, when the changed parameters are within the parameter threshold value corresponding to the recommended washing mode, updating the recommended washing mode according to the changed parameters, executing washing operation according to the recommended washing mode after the parameters are changed, and continuously calculating the washing mode according with the habit of the user according to the historical parameters of the user and storing the washing mode to be conveniently recommended for use next time. The intelligent clothes washing method disclosed by the embodiment of the invention can recommend the washing mode according to the use habit of the user, and improve the user experience.
As an improvement of the above, the method further comprises:
when the changed parameters are not in the parameter threshold value corresponding to the recommended washing mode, sending out first storage prompt information; the first storage prompt information is used for prompting whether the non-newly added user stores the recommended washing mode with the currently changed parameters or not;
when detecting that the non-newly added user selects the recommended washing mode without storing the changed parameters, executing washing operation according to the recommended washing mode with the changed parameters;
and when detecting that the recommended washing mode after the parameters are changed is selected by the non-newly added user, storing the recommended washing mode after the parameters are changed at present as another recommended washing mode, and executing washing operation according to the recommended washing mode after the parameters are changed.
As an improvement of the above scheme, after the recommended washing mode corresponding to the non-newly added user is displayed, the method further includes:
when the recommended washing mode is not selected by the non-newly added user, receiving a new washing mode input by the non-newly added user;
judging whether the parameters of the new washing mode are within the parameter threshold of the recommended washing mode;
if so, updating the recommended washing mode according to the parameters of the new washing mode; if not, sending a second storage prompt message; the second storage prompt information is used for prompting whether the non-new user stores the current new washing mode or not;
when the non-newly added user is detected not to select to store a new washing mode, executing washing operation according to the new washing mode;
and when the newly-added user is detected to select and store a new washing mode, storing the new washing mode as another recommended washing mode, and executing the washing operation according to the new washing mode.
As an improvement of the above, the recommended washing mode includes at least one of a general washing mode and a special washing mode; the general washing mode is a washing mode commonly used by a user, and the special washing mode is a washing mode not commonly used by the user.
As an improvement of the above scheme, when the recommended washing mode includes a general washing mode and a special washing mode, the displaying of the recommended washing mode corresponding to the non-added user specifically includes:
displaying a common washing mode and a special washing mode corresponding to the non-newly added user; wherein the general washing mode is displayed before the special washing mode.
As an improvement of the above scheme, the step of determining whether the current user is a newly added user includes:
receiving the biological characteristic information of the current user; wherein the biological characteristic information comprises at least one of fingerprint information, face information and iris information;
judging whether the biological characteristic information is matched with pre-stored standard biological characteristic information or not;
if yes, judging that the current user is a non-newly added user; if not, the current user is judged to be the new user.
As an improvement of the above scheme, after determining whether the current user is a newly added user, the method further includes:
when the current user is a newly added user, receiving a current washing mode input by the newly added user;
judging whether the washing habits of the current newly added user are recorded;
if yes, distributing a database for the newly added user to store the current washing mode, and executing washing operation according to the current washing mode; if not, the washing operation is executed according to the current washing mode.
In order to achieve the above object, an embodiment of the present invention further provides an intelligent laundry device, including:
the user identification module is used for judging whether the current user is a new user or not when responding to the user detection instruction;
the washing mode display module is used for displaying a recommended washing mode corresponding to the non-newly added user when the current user is the non-newly added user; the recommended washing mode is obtained by calculation according to historical parameters of a user;
the first judgment module is used for judging whether the recommended washing mode is changed by the non-newly added user when the recommended washing mode is selected by the non-newly added user;
the washing mode updating module is used for updating the recommended washing mode according to the changed parameters when the changed parameters are within the parameter threshold value corresponding to the recommended washing mode;
the washing module is used for updating the recommended washing mode according to the changed parameters when the parameters of the recommended washing mode are changed by the non-newly added user; and the washing machine is also used for executing washing operation according to the recommended washing mode when the parameter change is not carried out on the recommended washing mode by the non-newly added user.
Compared with the prior art, the intelligent laundry device disclosed by the embodiment of the invention has the advantages that firstly, the user identification module judges whether the current user is a newly added user, and the washing mode operation of each time of the user is stored, so that when the current user is judged to be a non-newly added user, the washing mode display module displays the recommended washing mode corresponding to the non-newly added user; then, when the recommended washing mode is selected by the non-newly added user, a first judgment module judges whether the non-newly added user carries out parameter change on the recommended washing mode; and finally, when the changed parameters are within the parameter threshold value corresponding to the recommended washing mode, the washing mode updating module updates the recommended washing mode according to the changed parameters, the washing module executes washing operation according to the recommended washing mode after the parameters are changed, and meanwhile, the washing mode which accords with the habits of the user is continuously calculated according to the historical parameters of the user and is stored for the next recommended use. The intelligent laundry device disclosed by the embodiment of the invention can recommend the washing mode according to the use habit of the user, and the user experience is improved.
In order to achieve the above object, an embodiment of the present invention further provides an intelligent laundry device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, the intelligent laundry device implements the intelligent laundry method according to any one of the above embodiments.
In order to achieve the above object, an embodiment of the present invention further provides a washing machine, including a biological characteristic collecting device, as described in the above embodiment, of the intelligent washing machine; wherein the content of the first and second substances,
the biological characteristic acquisition device is used for acquiring biological characteristic information of a current user and sending the biological characteristic information to the intelligent laundry device, so that the intelligent laundry device judges whether the current user is a new user or not according to the biological characteristic information.
Drawings
Fig. 1 is a flowchart of an intelligent laundry method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram showing a plurality of washing modes according to an embodiment of the present invention;
FIG. 3 is another schematic diagram showing multiple washing modes provided by an embodiment of the present invention;
FIG. 4 is a diagram illustrating a washing mode parameter set according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of another washing mode parameter set provided by an embodiment of the present invention;
FIG. 6 is a schematic diagram of a washing time parameter set according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of another wash time parameter set provided by an embodiment of the present invention;
fig. 8 is a flowchart of another intelligent laundry method according to an embodiment of the present invention;
fig. 9 is a block diagram of an intelligent laundry device according to an embodiment of the present invention;
fig. 10 is a block diagram illustrating a structure of another intelligent laundry device according to an embodiment of the present invention;
fig. 11 is a block diagram illustrating an intelligent laundry device according to an embodiment of the present invention;
fig. 12 is a block diagram of a washing machine according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a flowchart of an intelligent laundry method according to an embodiment of the present invention.
It should be noted that the intelligent laundry method according to the embodiment of the present invention is implemented by a controller installed in the laundry machine, and the controller is used as an execution main body in the embodiment. The washing machine is provided with the biological characteristic acquisition device for inputting the biological characteristic information of the users, so that the washing machine can record washing history parameters corresponding to each user, and calculation of recommended parameters is convenient to follow.
In an embodiment of the present invention, the method for detecting a material quality of clothing includes the following steps S1 to S4:
s1, when responding to the user detection instruction, judging whether the current user is a new user;
s2, when the current user is a non-new user, displaying a recommended washing mode corresponding to the non-new user; the recommended washing mode is obtained by calculation according to historical parameters of a user;
s3, when the recommended washing mode is selected by the non-newly added user, judging whether the parameter of the recommended washing mode is changed by the non-newly added user;
s4, if yes, updating the recommended washing mode according to the changed parameters when the changed parameters are within the parameter threshold value corresponding to the recommended washing mode, and executing washing operation according to the recommended washing mode after the parameters are changed; if not, the washing operation is executed according to the recommended washing mode.
Specifically, in step S1, each non-added user has a corresponding database, and the database stores biometric information and user history parameters corresponding to the non-added user. So that the database can be matched according to the input information of the user.
Specifically, the step of determining whether the current user is a newly added user includes:
s11, receiving the biological feature information of the current user; wherein the biological characteristic information comprises at least one of fingerprint information, face information and iris information;
s12, judging whether the biological characteristic information is matched with pre-stored standard biological characteristic information;
s13, if yes, judging that the current user is a non-new user; if not, the current user is judged to be the new user.
For example, the biometric acquisition device may include at least one of a face acquisition device, a fingerprint acquisition device and an iris acquisition device, and is configured to enter biometric information of the user, so as to determine whether to add the new user. After the biological characteristic information of each user is identified, ID information is distributed to each user, and a database is distributed according to the input ID information of each user and used for recording the use habit of each user.
It is to be noted that when the biometric information is fingerprint information, there may be a case where: each user has ten fingerprints, and the washing machine may misjudge ten persons. Therefore, the washing machine stores the fingerprint of the user after inputting the fingerprint of the user, when a new fingerprint is detected, a prompt indicating whether the user is a new person appears on the display interface, if the user chooses yes, the user is taken as a new member, the fingerprint information of the newly added user is stored, and meanwhile, a database is distributed for the newly added user. If the user selects no, the user is prompted whether to replace the fingerprint, if yes, the fingerprint information is replaced by the previous fingerprint information, the information of the original database is matched with the new fingerprint, and if the fingerprint is not replaced, the fingerprint can be kept, namely, a plurality of pieces of fingerprint information of the user are stored.
Specifically, in step S2, when the current user is a non-new user, the non-new user is a user who has used the washing machine before, and at this time, the washing machine already stores history parameters corresponding to the non-new user, that is, the washing machine stores a recommended washing mode corresponding to the non-new user, and the recommended washing mode is obtained by updating the parameters of the multiple washing modes after the user uses the washing machine multiple times. It should be noted that, when the non-added user uses the washing machine for the second time, the recommended washing mode is the washing mode last used by the non-added user.
Preferably, the recommended washing mode includes at least one of a general washing mode and a special washing mode; the general washing mode is a washing mode commonly used by a user, and the special washing mode is a washing mode not commonly used by the user. The division of the washing modes can be set according to the frequency of the user using the washing machine, for example, the user is a user in a common household, the common washing mode is a mode when the user frequently uses the washing machine to wash clothes (the frequency is approximately once a day), the corresponding special washing mode is a mode when the user occasionally uses the washing machine to wash bedspreads and covers (the frequency is approximately once a month), the parameter settings in different modes are obviously different, so as to divide the parameter threshold value, and further distinguish the common washing mode from the special washing mode.
Preferably, when the recommended washing mode comprises a normal washing mode and a special washing mode, the displaying of the recommended washing mode corresponding to the non-newly added user specifically comprises displaying the normal washing mode and the special washing mode corresponding to the non-newly added user; wherein the general washing mode is displayed before the special washing mode. Since the normal washing mode is a mode commonly used by the user, the display unit (display screen) preferentially displays the normal washing mode in front when displaying, so that the user can conveniently look up the normal washing mode.
Referring to fig. 2, fig. 2 is a display interface when the non-new user is identified by using a face recognition method. The icon at the upper left corner in fig. 2 is the face image of the user that is not newly added, so that the user can determine that the current washing mode is the washing mode suitable for the user, and the user is prevented from being confused with other people. The history pattern in fig. 2 is a recommended washing pattern obtained according to the user history parameters, and the newly defined pattern is a pattern of additional optional parameters when the user does not use the recommended parameters. The internal data of the recommended washing mode is obtained by continuously updating according to the accumulated historical washing data of the user, and a 'recommended' word is arranged on the left. The "user naming mode 1" in the right list in the figure is the name of the recommended general washing mode by the user, and the general washing mode may include a plurality of modes, all of which are displayed in the front. Similarly, the "special mode named by user name" in the right list in the figure is the name of the user for the special washing mode of the recommended parameter, and is displayed later. It is noted that the system may name the recommended wash mode with a default name when the user has not named the recommended wash mode.
Similarly, fig. 3 is a display interface when the non-new user is identified by a fingerprint identification method. The user name at the upper left corner in fig. 3 is the nickname of the non-new user, so that the user can determine that the current washing mode is the washing mode suitable for the user, and the user is prevented from being confused with other people. It should be noted that, when the non-new user performs identification by using other identification methods besides the above identification method, for example, iris identification is used, a nickname or a face image may be displayed in the upper left corner, which is not specifically limited herein.
Specifically, in step S3, when the recommended washing mode is selected by the non-added user, for example, when the "user naming mode 1" in fig. 2 is selected by the non-added user, the display interface is as shown in fig. 4 (when the "user naming mode 1" in fig. 3 is selected by the non-added user, the display interface is as shown in fig. 5), and the parameters in the normal washing mode include the amount of detergent, the washing time, the type of detergent, the amount of water used, and the like. And judging whether the non-newly added user carries out parameter change on the recommended washing mode.
Specifically, in step S4, when the non-added user changes the parameters of the recommended washing pattern, it is further determined whether the changed parameters are within the parameter threshold corresponding to the recommended washing pattern, and only when the changed parameters are within the parameter threshold corresponding to the recommended washing pattern, the recommended washing pattern is updated according to the changed parameters (that is, the parameters are updated by combining the past data, such as by taking the average value of all the parameters), and the washing operation is performed according to the recommended washing pattern after the parameters are changed. And when the parameters of the recommended washing mode are not changed by the non-newly added user, indicating that the user directly adopts the current recommended washing mode to wash clothes, and executing the washing operation according to the recommended washing mode.
For example, the parameters of the recommended washing mode are all correspondingly provided with preset parameter thresholds, and the daily washing habits of the same user are usually not changed greatly, so that even if the user changes the parameters, the parameters are not changed greatly, and the parameters of the recommended washing mode are ensured to be updated more reasonably after a proper threshold value is set. As shown in fig. 6 or 7, when the user changes the "washing time", it is determined whether the changed parameter is within the parameter threshold corresponding to the push washing mode, and if so, the recommended washing mode is recalculated according to the changed parameter.
Further, when the user washes special clothes (such as a sheet) at ordinary times, the input washing parameters are larger than the washing parameters for washing clothes, for example, the user only uses the washing machine to wash clothes (ordinary washing mode), but does not use the washing machine to wash sheets (special washing mode), and if the data is applied to the ordinary washing mode, the data processing error or the wrong recommendation caused by too large data difference is easily caused, and at this time, the method further includes steps S41 to S43:
s41, when the changed parameters are not in the parameter threshold value corresponding to the recommended washing mode, sending out first storage prompt information; and the first storage prompt information is used for prompting whether the non-newly added user stores the recommended washing mode with the currently changed parameters. For example, pop-up window "whether to save this data" in the display interface, and "yes" and "no" options are displayed at the same time.
S42, when the recommended washing mode without the parameters being changed is detected to be selected by the non-new user, namely the NO option is selected, the washing operation is executed according to the recommended washing mode with the parameters being changed, and the changed parameter record is deleted.
S43, when detecting that the recommended washing mode after the parameter is changed is selected by the non-newly added user, selecting a 'yes' option, storing the recommended washing mode after the current parameter is changed as another recommended washing mode, executing washing operation according to the recommended washing mode after the parameter is changed, naming the stored another recommended mode by the user at the moment, using the mode as a special washing mode, setting a parameter threshold value for the special naming mode by the system, and continuously updating the special naming mode after convenience.
Further, after determining whether the current user is the new user in step S1, the method further includes steps S21 to S22:
s21, when the current user is the new user, receiving the current washing mode input by the new user;
and S22, performing a washing operation according to the current washing mode.
Specifically, when the current user is detected to be the new user, a prompt indicating whether the current user is a new person appears on the display interface, if so, the user is taken as the new user, and the current washing mode input by the new user is received. And when the newly added user selects to record the washing habit of the user, distributing a database for the newly added user to store the parameters of the current washing mode, and simultaneously storing the biological characteristic information of the newly added user in the database. When the newly added user chooses not to record the washing habit of the newly added user (the newly added user may only use the washing machine of the non-newly added user to wash clothes and only use the clothes once), the newly added user does not need to be allocated with a database, and the washing operation is directly executed according to the current washing mode.
Further, after the recommended washing mode corresponding to the non-added user is displayed in step S2, steps S31 to S35 are further included:
s31, when the recommended washing mode is not selected by the non-new user, receiving a new washing mode input by the non-new user;
s32, judging whether the parameters of the new washing mode are within the parameter threshold of the recommended washing mode;
s33, if yes, updating the recommended washing mode according to the parameters of the new washing mode; if not, sending a second storage prompt message; the second storage prompt information is used for prompting whether the non-new user stores the current new washing mode or not;
s34, when detecting that the non-newly added user selects not to store a new washing mode, executing washing operation according to the new washing mode;
s35, when it is detected that the non-new user selects to store a new washing pattern, storing the new washing pattern as another recommended washing pattern, and performing a washing operation according to the new washing pattern.
Specifically, when the recommended washing mode displayed on the display interface is not selected by the non-new user, for example, as shown in fig. 2, the non-new user selects a "new definition mode", and then enters a new parameter selection interface, for example, as shown in fig. 4, at this time, the system also recommends parameters for the non-new user to select, and of course, the non-new user may also customize the parameters. And after the non-newly added user selects the parameters, judging each parameter to determine whether the parameter accords with the parameter threshold of any one of the existing recommended washing modes, if so, updating the parameters of the recommended washing mode as historical parameters, and if not, sending second storage prompt information to prompt the user whether to store the currently stored new washing mode as another recommended washing mode. And when the non-newly added user selects not to store the new washing mode, executing the washing operation according to the new washing mode, and deleting the parameter record of the new washing mode. When the new washing mode is detected to be selected and stored by the non-newly added user, the new washing mode is stored as another recommended washing mode, the washing operation is executed according to the new washing mode, at the moment, the user can name the stored another recommended mode and can serve as a special washing mode, meanwhile, the system sets a parameter threshold value for the special naming mode, and the special naming mode is continuously updated after convenience is given.
Further, the above process can be referred to fig. 8.
Compared with the prior art, the intelligent clothes washing method disclosed by the embodiment of the invention comprises the steps of firstly judging whether a current user is a newly added user or not, and displaying a recommended washing mode corresponding to a non-newly added user when the current user is judged to be the non-newly added user because each operation of the user on the washing mode is stored; then, when the recommended washing mode is selected by the non-newly added user, judging whether the non-newly added user carries out parameter change on the recommended washing mode; and finally, when the changed parameters are within the parameter threshold value corresponding to the recommended washing mode, updating the recommended washing mode according to the changed parameters, executing washing operation according to the recommended washing mode after the parameters are changed, and continuously calculating the washing mode according with the habit of the user according to the historical parameters of the user and storing the washing mode to be conveniently recommended for use next time. The intelligent clothes washing method disclosed by the embodiment of the invention can recommend the washing mode according to the use habit of the user, and improve the user experience.
Referring to fig. 9, fig. 9 is a block diagram of an intelligent laundry device 10 according to an embodiment of the present invention.
It should be noted that the intelligent laundry device 10 according to the embodiment of the present invention is a controller installed in the laundry machine. The washing machine is provided with the biological characteristic acquisition device for inputting the biological characteristic information of the users, so that the washing machine can record washing history parameters corresponding to each user, and calculation of recommended parameters is convenient to follow.
In an embodiment of the present invention, the intelligent laundry device 10 includes:
the user identification module 11 is configured to, when responding to the user detection instruction, determine whether the current user is a new user;
a washing mode display module 12, configured to display, when the current user is a non-added user, a recommended washing mode corresponding to the non-added user; the recommended washing mode is obtained by calculation according to historical parameters of a user;
a first judging module 13, configured to, when the recommended washing mode is selected by the non-newly added user, judge whether the non-newly added user performs parameter change on the recommended washing mode;
a washing mode updating module 14 for updating the recommended washing mode according to the changed parameters when the changed parameters are within the parameter threshold corresponding to the recommended washing mode;
the washing module 15 is configured to update the recommended washing mode according to the changed parameters when the non-newly added user changes the parameters of the recommended washing mode; and the washing machine is also used for executing washing operation according to the recommended washing mode when the parameter change is not carried out on the recommended washing mode by the non-newly added user.
Further, referring to fig. 10, the intelligent laundry device 10 further includes: the storage prompt information issuing module 16 and the second judging module 17, and specifically, functions of the storage prompt information issuing module 16 and the second judging module 17 will be described later.
Specifically, each non-added user has a corresponding database, and the database stores biometric information and user history parameters corresponding to the non-added user. So that the database can be matched according to the input information of the user.
Specifically, the user detection instruction is a user biometric instruction, and the user identification module 11 is specifically configured to receive biometric information of the current user; wherein the biological characteristic information comprises at least one of fingerprint information, face information and iris information; judging whether the biological characteristic information is matched with pre-stored standard biological characteristic information or not; if yes, judging that the current user is a non-newly added user; if not, the current user is judged to be the new user.
For example, the biometric device may include at least one of a face capture device, a fingerprint capture device and an iris capture device, and is configured to enter biometric information of the user, so as to send the biometric information to the user identification module 11 to determine whether to add a new user. After identifying the biometric information of each user, the intelligent laundry device 10 assigns an ID information to each user, and assigns a database for recording the usage habit of each user according to the entered ID information of each user.
It is to be noted that when the biometric information is fingerprint information, there may be a case where: each user has ten fingerprints, and the washing machine may misjudge ten persons. Therefore, the washing machine stores the fingerprint of the user after inputting the fingerprint of the user, when a new fingerprint is detected, a prompt indicating whether the user is a new person appears on the display interface, if the user chooses yes, the user is taken as a new member, the fingerprint information of the newly added user is stored, and meanwhile, a database is distributed for the newly added user. If the user selects no, the user is prompted whether to replace the fingerprint, if yes, the fingerprint information is replaced by the previous fingerprint information, the information of the original database is matched with the new fingerprint, and if the fingerprint is not replaced, the fingerprint can be kept, namely, a plurality of pieces of fingerprint information of the user are stored.
Specifically, when the current user is a non-newly added user, the non-newly added user is a user who has used the washing machine before, and at this time, the history parameters corresponding to the non-newly added user are stored in the washing machine, that is, the recommended washing mode corresponding to the non-newly added user is stored in the washing machine. The washing mode display module 12 displays a recommended washing mode corresponding to the non-new user, wherein the recommended washing mode is obtained by continuously updating parameters of a plurality of washing modes after the user uses the washing machine for a plurality of times. It should be noted that, when the non-added user uses the washing machine for the second time, the recommended washing mode is the washing mode last used by the non-added user.
Preferably, the recommended washing mode includes at least one of a general washing mode and a special washing mode; the general washing mode is a washing mode commonly used by a user, and the special washing mode is a washing mode not commonly used by the user. The division of the washing modes can be set according to the frequency of the user using the washing machine, for example, the user is a user in a common household, the common washing mode is a mode when the user frequently uses the washing machine to wash clothes (the frequency is approximately once a day), the corresponding special washing mode is a mode when the user occasionally uses the washing machine to wash bedspreads and covers (the frequency is approximately once a month), the parameter settings in different modes are obviously different, so as to divide the parameter threshold value, and further distinguish the common washing mode from the special washing mode.
Preferably, when the recommended washing mode includes a normal washing mode and a special washing mode, the washing mode display module 12 displays the recommended washing mode corresponding to the non-added user, specifically including displaying the normal washing mode and the special washing mode corresponding to the non-added user; wherein the general washing mode is displayed before the special washing mode. Since the normal washing mode is a mode commonly used by the user, the display unit (display screen) preferentially displays the normal washing mode in front when displaying, so that the user can conveniently look up the normal washing mode.
Referring to fig. 2, fig. 2 is a display interface when the non-new user is identified by using a face recognition method. The icon at the upper left corner in fig. 2 is the face image of the user that is not newly added, so that the user can determine that the current washing mode is the washing mode suitable for the user, and the user is prevented from being confused with other people. The history pattern in fig. 2 is a recommended washing pattern obtained according to the user history parameters, and the newly defined pattern is a pattern of additional optional parameters when the user does not use the recommended parameters. The "user naming mode 1" in the right list in the figure is the name of the recommended general washing mode by the user, and the general washing mode may include a plurality of modes, all of which are displayed in the front. Similarly, the "special mode named by user name" in the right list in the figure is the name of the user for the special washing mode of the recommended parameter, and is displayed later. It is noted that the system may name the recommended wash mode with a default name when the user has not named the recommended wash mode.
Similarly, fig. 3 is a display interface when the non-new user is identified by a fingerprint identification method. The user name at the upper left corner in fig. 3 is the nickname of the non-new user, so that the user can determine that the current washing mode is the washing mode suitable for the user, and the user is prevented from being confused with other people.
Specifically, when the recommended washing mode is selected by the non-added user, for example, when the "user naming mode 1" in fig. 2 is selected by the non-added user, the display interface is as shown in fig. 4 (when the "user naming mode 1" in fig. 3 is selected by the non-added user, the display interface is as shown in fig. 5), and the parameters in the ordinary washing mode include the amount of detergent, washing time, type of detergent, water consumption, and the like. At this time, the first determining module 13 determines whether the non-added user performs parameter modification on the recommended washing mode.
Specifically, when the first determining module 13 determines that the parameter of the recommended washing mode is changed by a non-newly added user, only when the changed parameter is within the parameter threshold corresponding to the recommended washing mode, the washing mode updating module 14 updates the recommended washing mode according to the changed parameter (that is, the parameter is updated by combining the past data, for example, the average value of all the parameters), and meanwhile, the washing module 15 executes the washing operation according to the recommended washing mode after the parameter is changed. And when the parameters of the recommended washing mode are not changed by the non-newly added user, indicating that the user directly adopts the current recommended washing mode to wash clothes, and executing the washing operation according to the recommended washing mode.
For example, the parameters of the recommended washing mode are all correspondingly provided with preset parameter thresholds, and the daily washing habits of the same user are usually not changed greatly, so that even if the user changes the parameters, the parameters are not changed greatly, and the parameters of the recommended washing mode are ensured to be updated more reasonably after a proper threshold value is set. As shown in fig. 6 or 7, when the user changes the "washing time", it is determined whether the changed parameter is within the parameter threshold corresponding to the push washing mode, and if so, the recommended washing mode is recalculated according to the changed parameter.
Preferably, when the changed parameter is not within the parameter threshold corresponding to the recommended washing mode, the storage prompt information sending module 16 sends a first storage prompt information (at this time, a user may select a normal washing mode, but the system is not provided with a special washing mode, for example, the user only uses the washing machine to wash clothes, but does not use the washing machine to wash bed sheets); and the first storage prompt information is used for prompting whether the non-newly added user stores the recommended washing mode with the currently changed parameters. For example, pop-up window "whether to save this data" in the display interface, and "yes" and "no" options are displayed at the same time.
When detecting that the non-newly added user selects the recommended washing mode without storing the changed parameters, that is, selecting the no option, the washing module 15 executes the washing operation according to the recommended washing mode with the changed parameters, and deletes the changed parameter record at the same time. When the recommended washing mode after the parameter is stored and changed is detected to be selected by the non-newly added user, namely a 'yes' option is selected, the recommended washing mode after the current parameter is changed is stored as another recommended washing mode, the washing module 15 executes washing operation according to the recommended washing mode after the parameter is changed, at the moment, the user can name the stored another recommended mode and can serve as a special washing mode, meanwhile, the system sets a parameter threshold value for the special naming mode, and the special naming mode is continuously updated conveniently.
Further, the user identification module 11 determines that when the current user is the new user, the washing module 15 receives the current washing mode input by the new user; the washing operation is performed according to the current washing mode.
Specifically, when the current user is detected to be the new user, a prompt indicating whether the current user is a new person appears on the display interface, if so, the user is taken as the new user, and the current washing mode input by the new user is received. And when the newly added user selects to record the washing habit of the user, distributing a database for the newly added user to store the parameters of the current washing mode, and simultaneously storing the biological characteristic information of the newly added user in the database. When the newly added user chooses not to record the washing habit of the newly added user (the newly added user may only use the washing machine of the non-newly added user to wash clothes and only use the clothes once), the newly added user does not need to be allocated with a database, and the washing operation is directly executed according to the current washing mode.
Further, when the recommended washing mode is not selected by the non-newly added user, receiving a new washing mode input by the non-newly added user; the second judging module 17 judges whether the parameter of the new washing mode is within the parameter threshold of the recommended washing mode; if yes, the washing mode updating module 14 updates the recommended washing mode according to the parameters of the new washing mode; if not, the storage prompt message sending module 16 sends out a second storage prompt message; the second storage prompt information is used for prompting whether the non-new user stores the current new washing mode or not; when it is detected that the non-newly added user selects not to store a new washing pattern, the washing module 15 performs a washing operation according to the new washing pattern; when it is detected that the non-added user selects to store a new washing mode, the new washing mode is stored as another recommended washing mode, and the washing module 15 performs a washing operation according to the new washing mode.
Compared with the prior art, the intelligent laundry device 10 disclosed in the embodiment of the present invention includes that, firstly, the user identification module 11 determines whether the current user is a new user, and since each operation of the user on the washing mode is stored, when the current user is determined to be a non-new user, the washing mode display module 12 displays the recommended washing mode corresponding to the non-new user; then, when the recommended washing mode is selected by the non-newly added user, the first judging module 13 judges whether the parameter change is performed on the recommended washing mode by the non-newly added user; finally, when the changed parameters are within the parameter threshold corresponding to the recommended washing mode, the washing mode updating module 14 updates the recommended washing mode according to the changed parameters, the washing module 15 executes the washing operation according to the recommended washing mode after the parameters are changed, and meanwhile, the washing mode which accords with the habits of the user is continuously calculated according to the historical parameters of the user and is stored for the next recommended use. The intelligent laundry device disclosed by the embodiment of the invention can recommend the washing mode according to the use habit of the user, and the user experience is improved.
Referring to fig. 11, fig. 11 is a block diagram of an intelligent laundry device 20 according to an embodiment of the present invention. The intelligent laundry device 20 of this embodiment includes: a processor 21, a memory 22 and a computer program stored in said memory 22 and executable on said processor 21. The processor 21, when executing the computer program, implements the steps in the above-mentioned various intelligent laundry method embodiments, for example, step S1 shown in fig. 1. Alternatively, the processor 21, when executing the computer program, implements the functions of the modules/units in the above-mentioned device embodiments, such as the subscriber identity module 11.
Illustratively, the computer program may be divided into one or more modules/units, which are stored in the memory 22 and executed by the processor 21 to accomplish the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing a specific function, which are used to describe the execution process of the computer program in the intelligent laundry device 20. For example, the computer program may be divided into a user identification module 11, a washing mode display module 12, a first determination module 13, a washing mode update module 14, a washing module 15, a storage prompt information sending module 16, and a second determination module 17, and for specific functions of each module, reference is made to the working process of the intelligent laundry device 10 described in the foregoing embodiment, which is not described herein again.
The intelligent laundry device 20 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The intelligent laundry device 20 may include, but is not limited to, a processor 21 and a memory 22. It will be understood by those skilled in the art that the schematic diagram is merely an example of the intelligent laundry device 20, does not constitute a limitation of the intelligent laundry device 20, may include more or less components than those shown, or combine some components, or different components, for example, the intelligent laundry device 20 may further include an input output device, a network access device, a bus, etc.
The Processor 21 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 device, discrete hardware component, etc. The general processor may be a microprocessor or the processor may be any conventional processor, etc., and the processor 21 is a control center of the intelligent laundry device 20 and is connected to various parts of the entire intelligent laundry device 20 by various interfaces and lines.
The memory 22 may be used to store the computer programs and/or modules, and the processor 21 implements various functions of the intelligent laundry device 20 by operating or executing the computer programs and/or modules stored in the memory 22 and calling data stored in the memory 22. The memory 22 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory 22 may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
Wherein, the integrated module/unit of the smart laundry device 20 may be stored in a computer readable storage medium if it is implemented in the form of a software function unit and sold or used as a separate product. Based on such understanding, all or part of the flow of the method according to the above embodiments may be implemented by a computer program, which may be stored in a computer readable storage medium and used by the processor 21 to implement the steps of the above embodiments of the method. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
It should be noted that the above-described device embodiments are merely illustrative, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. In addition, in the drawings of the embodiment of the apparatus provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, and may be specifically implemented as one or more communication buses or signal lines. One of ordinary skill in the art can understand and implement it without inventive effort.
Referring to fig. 12, fig. 12 is a block diagram of a washing machine 31 according to an embodiment of the present invention.
The embodiment of the invention also provides a washing machine 30, wherein the washing machine 30 comprises a biological characteristic acquisition device 31 and the intelligent washing device 10 in the embodiment; wherein the content of the first and second substances,
the biometric feature acquisition device 31 is configured to acquire biometric feature information of a current user, and send the biometric feature information to the intelligent laundry device 10, so that the intelligent laundry device 10 determines whether the current user is a new user according to the biometric feature information.
Illustratively, the biometric acquisition device 31 may include at least one of a face acquisition device, a fingerprint acquisition device and an iris acquisition device for inputting biometric information of the user.
For details, please refer to the working process of the intelligent laundry device 10 for the working process of the washing machine 30, which is not described herein again.
Compared with the prior art, the washing machine 30 disclosed in the embodiment of the present invention first determines whether the current user is a new user, and since each operation of the user on the washing mode is saved, when the current user is determined to be a non-new user, a recommended washing mode corresponding to the non-new user is displayed; then, when the recommended washing mode is selected by the non-newly added user, judging whether the non-newly added user carries out parameter change on the recommended washing mode; and finally, when the changed parameters are within the parameter threshold value corresponding to the recommended washing mode, updating the recommended washing mode according to the changed parameters, executing washing operation according to the recommended washing mode after the parameters are changed, and continuously calculating the washing mode according with the habit of the user according to the historical parameters of the user and storing the washing mode to be conveniently recommended for use next time. The washing machine 30 disclosed by the embodiment of the invention can recommend the washing mode according to the use habit of the user, and the user experience is improved.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. An intelligent laundry method, comprising:
when a user detection instruction is responded, whether the current user is a newly added user is judged;
when the current user is a non-newly added user, displaying a recommended washing mode corresponding to the non-newly added user; the recommended washing mode is obtained by calculation according to historical parameters of a user;
when the recommended washing mode is selected by the non-newly added user, judging whether the non-newly added user carries out parameter change on the recommended washing mode;
if so, updating the recommended washing mode according to the changed parameters when the changed parameters are within the parameter threshold value corresponding to the recommended washing mode, and executing washing operation according to the recommended washing mode after the parameters are changed; if not, the washing operation is executed according to the recommended washing mode.
2. The smart laundry method of claim 1, further comprising:
when the changed parameters are not in the parameter threshold value corresponding to the recommended washing mode, sending out first storage prompt information; the first storage prompt information is used for prompting whether the non-newly added user stores the recommended washing mode with the currently changed parameters or not;
when detecting that the non-newly added user selects the recommended washing mode without storing the changed parameters, executing washing operation according to the recommended washing mode with the changed parameters;
and when detecting that the recommended washing mode after the parameters are changed is selected by the non-newly added user, storing the recommended washing mode after the parameters are changed at present as another recommended washing mode, and executing washing operation according to the recommended washing mode after the parameters are changed.
3. The intelligent laundry method according to claim 1, wherein after displaying the recommended washing mode corresponding to the non-added user, further comprising:
when the recommended washing mode is not selected by the non-newly added user, receiving a new washing mode input by the non-newly added user;
judging whether the parameters of the new washing mode are within the parameter threshold of the recommended washing mode;
if so, updating the recommended washing mode according to the parameters of the new washing mode; if not, sending a second storage prompt message; the second storage prompt information is used for prompting whether the non-new user stores the current new washing mode or not;
when the non-newly added user is detected not to select to store a new washing mode, executing washing operation according to the new washing mode;
and when the newly-added user is detected to select and store a new washing mode, storing the new washing mode as another recommended washing mode, and executing the washing operation according to the new washing mode.
4. The smart laundry method according to claim 1, wherein the recommended washing mode includes at least one of a general washing mode and a special washing mode; the general washing mode is a washing mode commonly used by a user, and the special washing mode is a washing mode not commonly used by the user.
5. The intelligent laundry method according to claim 4, wherein when the recommended washing mode includes a normal washing mode and a special washing mode, the displaying the recommended washing mode corresponding to the non-added user specifically includes:
displaying a common washing mode and a special washing mode corresponding to the non-newly added user; wherein the general washing mode is displayed before the special washing mode.
6. The intelligent laundry method according to claim 1, wherein the user detection command is a user biometric command, and the determining whether the current user is a new user specifically comprises:
receiving the biological characteristic information of the current user; wherein the biological characteristic information comprises at least one of fingerprint information, face information and iris information;
judging whether the biological characteristic information is matched with pre-stored standard biological characteristic information or not;
if yes, judging that the current user is a non-newly added user; if not, the current user is judged to be the new user.
7. The intelligent laundry method according to claim 1, wherein after determining whether the current user is a new user, the method further comprises:
when the current user is a newly added user, receiving a current washing mode input by the newly added user;
judging whether the washing habits of the current newly added user are recorded;
if yes, distributing a database for the newly added user to store the current washing mode, and executing washing operation according to the current washing mode; if not, the washing operation is executed according to the current washing mode.
8. An intelligent laundry appliance, comprising:
the user identification module is used for judging whether the current user is a new user or not when responding to the user detection instruction;
the washing mode display module is used for displaying a recommended washing mode corresponding to the non-newly added user when the current user is the non-newly added user; the recommended washing mode is obtained by calculation according to historical parameters of a user;
the first judgment module is used for judging whether the recommended washing mode is changed by the non-newly added user when the recommended washing mode is selected by the non-newly added user;
the washing mode updating module is used for updating the recommended washing mode according to the changed parameters when the changed parameters are within the parameter threshold value corresponding to the recommended washing mode;
the washing module is used for updating the recommended washing mode according to the changed parameters when the parameters of the recommended washing mode are changed by the non-newly added user; and the washing machine is also used for executing washing operation according to the recommended washing mode when the parameter change is not carried out on the recommended washing mode by the non-newly added user.
9. An intelligent laundry appliance comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the intelligent laundry method of any one of claims 1 to 7 when executing the computer program.
10. A washing machine comprising a biometric acquisition device the smart laundry device of claim 8; wherein the content of the first and second substances,
the biological characteristic acquisition device is used for acquiring biological characteristic information of a current user and sending the biological characteristic information to the intelligent laundry device, so that the intelligent laundry device judges whether the current user is a new user or not according to the biological characteristic information.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113265830A (en) * | 2021-04-30 | 2021-08-17 | 青岛海尔科技有限公司 | Pushing method and device for washing mode of intelligent washing machine and electronic device |
| CN113944027A (en) * | 2020-07-15 | 2022-01-18 | 青岛海尔洗衣机有限公司 | Control method and device of washing machine, washing machine and storage medium |
| WO2023180118A1 (en) * | 2022-03-21 | 2023-09-28 | Homag Plattenaufteiltechnik Gmbh | Method for operating a machine tool, and machine tool |
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2019
- 2019-12-31 CN CN201911408790.6A patent/CN110938969A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113944027A (en) * | 2020-07-15 | 2022-01-18 | 青岛海尔洗衣机有限公司 | Control method and device of washing machine, washing machine and storage medium |
| CN113265830A (en) * | 2021-04-30 | 2021-08-17 | 青岛海尔科技有限公司 | Pushing method and device for washing mode of intelligent washing machine and electronic device |
| CN113265830B (en) * | 2021-04-30 | 2023-09-19 | 青岛海尔科技有限公司 | Push method and device for intelligent washing machine washing mode and electronic device |
| WO2023180118A1 (en) * | 2022-03-21 | 2023-09-28 | Homag Plattenaufteiltechnik Gmbh | Method for operating a machine tool, and machine tool |
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