CN115005633A - Intelligent mattress hardness adjusting method, device and system and storage medium - Google Patents
Intelligent mattress hardness adjusting method, device and system and storage medium Download PDFInfo
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C23/00—Spring mattresses with rigid frame or forming part of the bedstead, e.g. box springs; Divan bases; Slatted bed bases
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C21/00—Attachments for beds, e.g. sheet holders, bed-cover holders; Ventilating, cooling or heating means in connection with bedsteads or mattresses
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C27/00—Spring, stuffed or fluid mattresses or cushions specially adapted for chairs, beds or sofas
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Abstract
The invention discloses a method, a device and a system for adjusting the hardness of an intelligent mattress and a storage medium. The intelligent mattress hardness adjusting method is used for an intelligent mattress hardness adjusting system, and the intelligent mattress hardness adjusting system comprises an intelligent mattress and a network camera; the method for adjusting the hardness of the intelligent mattress comprises the following steps: acquiring real-time user image information shot by a network camera; determining user information based on the real-time user image information; determining hardness-softness preconditioning information based on the user information; and adjusting the hardness of the intelligent mattress based on the hardness pre-adjustment information. Through adopting above-mentioned scheme, can not lie when the user on intelligent mattress based on user information to the soft or hard degree of intelligent mattress preconditioning, adjust into the soft or hard degree of laminating self demand with the soft or hard degree of intelligent mattress to the comfort preferred has solved the problem that the not good easy influence sleep of user comfort when the mattress adjustment.
Description
Technical Field
The invention relates to the technical field of intelligent mattresses, in particular to a method, a device and a system for adjusting the hardness of an intelligent mattress and a storage medium.
Background
In order to improve the comfort of the user, the hardness of the existing intelligent mattress is adjustable. However, the existing intelligent mattress is usually adjusted when a user lies on the intelligent mattress, and in the adjusting process, if the adjusting amplitude is too large, the user lying on the intelligent mattress can feel the fluctuation of the mattress, so that the user feels poor comfort and easily influences sleep.
Disclosure of Invention
The invention provides a method, a device and a system for adjusting the hardness of an intelligent mattress and a storage medium, which aim to solve the problem that the comfort of a user is poor and the sleep is easily influenced when the mattress is adjusted.
According to one aspect of the invention, an intelligent mattress hardness adjusting method is provided, which is used for an intelligent mattress hardness adjusting system, wherein the intelligent mattress hardness adjusting system comprises an intelligent mattress and a network camera; the method for adjusting the hardness of the intelligent mattress comprises the following steps:
acquiring real-time user image information shot by a network camera;
determining user information based on the real-time user image information;
determining hardness-softness preconditioning information based on the user information;
and adjusting the hardness of the intelligent mattress based on the hardness pre-adjustment information.
In an optional embodiment of the present invention, before determining the soft or hard pre-adjustment information based on the user information, the method further includes:
establishing a corresponding relation between user information and soft and hard degree pre-adjustment information;
correspondingly, the determining the soft hardness pre-adjustment information based on the user information includes:
and determining soft and hard degree pre-adjustment information through the corresponding relation between the user information and the soft and hard degree pre-adjustment information based on the user information.
In an optional embodiment of the present invention, the establishing a correspondence between the user information and the hardness-softness pre-adjustment information includes:
acquiring user information;
adjusting the hardness of the intelligent mattress based on a preset hardness adjustment rule until a stop signal is obtained;
generating hardness pre-adjusting information based on the current hardness of the intelligent mattress;
and correlating the user information with the soft hardness pre-adjustment information to generate a corresponding relation between the user information and the soft hardness pre-adjustment information.
In an alternative embodiment of the present invention, the user information includes user identification information and user number information.
In an optional embodiment of the present invention, after adjusting the softness and hardness of the smart mattress based on the softness and hardness pre-adjustment information, the method further includes:
determining whether the user gets into bed;
if so, determining the secondary hardness and hardness adjustment information of the intelligent mattress;
and adjusting the hardness of the intelligent mattress based on the hardness secondary adjustment information.
In an optional embodiment of the present invention, the determining whether the user gets into bed includes:
acquiring the bearing pressure information of the intelligent mattress;
determining whether the bearing pressure information is greater than a preset pressure threshold value;
if yes, the user is confirmed to get on the bed.
In an optional embodiment of the present invention, the determining the secondary adjustment information of the softness and hardness of the intelligent mattress includes:
determining secondary hardness and hardness adjustment information based on the bearing pressure information;
and/or, the determining of the secondary softness and hardness adjustment information of the intelligent mattress comprises:
and sending out adjustment inquiry voice information, and acquiring secondary hardness adjustment information input by the user based on the adjustment inquiry voice information.
According to another aspect of the present invention, there is provided an intelligent mattress softness and hardness adjusting device, including:
the acquisition module is used for acquiring real-time user image information shot by the network camera;
the user information determining module is used for determining user information based on the real-time user image information;
the adjusting information determining module is used for determining the soft hardness pre-adjusting information based on the user information;
and the adjusting module is used for adjusting the hardness of the intelligent mattress based on the hardness pre-adjusting information.
According to another aspect of the invention, an intelligent mattress hardness adjusting system is provided, which comprises a network camera and an intelligent mattress;
the network camera is used for shooting indoors to obtain real-time user image information;
the intelligent mattress comprises at least one processor and a memory which is in communication connection with the at least one processor;
wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the intelligent mattress softness and hardness adjusting method according to any embodiment of the present invention.
According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions for causing a processor to implement the method for adjusting softness and hardness of an intelligent mattress according to any embodiment of the present invention when the computer instructions are executed.
According to the technical scheme of the embodiment of the invention, the user information is determined based on the real-time user image information, then the user information is determined based on the real-time user image information, the hardness and softness pre-adjustment information is determined based on the user information, and finally the hardness and softness of the intelligent mattress are adjusted based on the hardness and softness pre-adjustment information. Thereby can not lie when the user on intelligent mattress based on user information carries out the preconditioning to the soft or hard degree of intelligent mattress, adjust into the soft or hard degree of laminating self demand with the soft or hard degree of intelligent mattress to the comfort preferred, simultaneously in the preconditioning in-process, the user does not contact intelligent mattress, user's comfort is not good when having solved the mattress adjustment easily influences the problem of sleep.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a method for adjusting hardness and softness of an intelligent mattress according to a first embodiment of the present invention;
fig. 2 is a flowchart of an intelligent mattress hardness adjusting method according to a second embodiment of the present invention;
fig. 3 is a flowchart of the step in fig. 2 for establishing the corresponding relationship between the user information and the software and hardness pre-adjustment information;
fig. 4 is a flowchart of an intelligent mattress hardness adjusting method according to a third embodiment of the present invention;
FIG. 5 is a flowchart of the step of FIG. 4 to determine whether the user is getting into bed;
fig. 6 is a schematic structural diagram of an intelligent mattress hardness adjustment device according to a fourth embodiment of the present invention;
fig. 7 shows a schematic structural diagram of an intelligent mattress softness and hardness adjustment system that can be used to implement embodiment five of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, 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.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example one
Fig. 1 is a flowchart of a method for adjusting the hardness of an intelligent mattress according to an embodiment of the present invention, where the method is applicable to adjusting the hardness of an intelligent mattress in a bedroom, and the method can be executed by an intelligent mattress hardness adjusting device, and the intelligent mattress hardness adjusting device can be implemented in a hardware and/or software manner, and the intelligent mattress hardness adjusting device can be configured in an intelligent mattress of an intelligent mattress hardness adjusting system. The intelligent mattress hardness adjusting system comprises an intelligent mattress and a network camera; as shown in fig. 1, the method for adjusting the softness and hardness of the intelligent mattress comprises the following steps:
and S110, acquiring real-time user image information shot by the network camera.
The network camera and the intelligent mattress are located in the same space, for example, the network camera is used for being installed in a bedroom, and the intelligent mattress is also located in the same bedroom. The network camera refers to a component which can shoot and can communicate with the intelligent mattress.
The WEBCAM is called WEB CAMERA for short, and is called WEB CAMERA in english, and is a new generation of video CAMERA produced by combining a traditional video CAMERA and a network technology, and images of the video CAMERA can be monitored only by a standard WEB browser (such as Microsoft IE or Netscape). The network camera is a new generation product combining the traditional camera and the network video technology, and has all the image capturing functions of the traditional camera, and a digital compression controller and a WEB-based operating system are also arranged in the network camera, so that video data are compressed and encrypted and then are sent to a terminal user through a local area network, an internet or a wireless network. Therefore, in actual use, as long as the intelligent mattress and the network camera are in the same local area network, the intelligent mattress can acquire the real-time user image information shot by the network camera.
The real-time user image information refers to image information with a user image entering a bedroom, which is shot by the network camera at the current time, and for example, the real-time user image information can be face information shot by the network camera at the current time.
And S120, determining user information based on the real-time user image information.
The user information refers to information capable of representing user identities of different users, the user information can be prestored in the intelligent mattress, and meanwhile different user information can be associated with different user image information. For example, when the user information of the a user is the name X1 and the corresponding user image information is Y1, the user information of the B user is the name X2 and the corresponding user image information is Y2, and when the real-time user image information is Y1, the user information at this time is X1 and the user corresponds to the a user. Since the different users have different long phases and different real-time user image information, the user information can be determined according to the real-time user image information.
And S130, determining hardness-softness pre-adjustment information based on the user information.
The hardness and softness pre-adjustment information is also pre-stored in the intelligent mattress through a user, and can be adjusted through wireless communication between the user and the intelligent mattress through the intelligent terminal, and the hardness and softness pre-adjustment information refers to specific adjustment parameters for adjusting the hardness and softness of the intelligent mattress. For example, in a specific embodiment, the user information of the a user is the name X1 and the corresponding soft or hard pre-adjustment information is Z1, and the user information of the B user is the name X2 and the corresponding soft or hard pre-adjustment information is Z2, so that when the user information is X1, the soft or hard pre-adjustment information can be determined to be Z1.
The hardness and softness needed by different users are different, so that the hardness and softness pre-adjustment information is determined based on the user information, and the hardness and softness pre-adjustment information can meet the specific requirements of different users.
And S140, adjusting the hardness of the intelligent mattress based on the hardness pre-adjustment information.
The hardness-softness pre-adjustment information refers to specific adjustment parameters for adjusting the hardness of the intelligent mattress. Therefore, the hardness of the intelligent mattress can be adjusted according to the hardness pre-adjustment information, and the hardness of the intelligent mattress can meet the hardness requirement of a user.
According to the scheme, the real-time user image information shot by the network camera is firstly obtained, then the user information is determined based on the real-time user image information, the hardness pre-adjusting information is determined based on the user information, and finally the hardness of the intelligent mattress is adjusted based on the hardness pre-adjusting information. Thereby can not lie when the user on intelligent mattress based on user information to the soft or hard degree of intelligent mattress adjust in advance, adjust into the soft or hard degree of laminating self demand with the soft or hard degree of intelligent mattress to the comfort preferred, at the in-process of adjusting in advance simultaneously, the user does not contact intelligent mattress, user's comfort is not good when having solved the mattress adjustment easily influences the problem of sleep.
Example two
Fig. 2 is a flowchart of an intelligent mattress softness and hardness adjusting method provided in the second embodiment of the present invention, which is improved based on the first embodiment, and optionally, before determining the softness and hardness pre-adjusting information based on the user information, the method further includes: and establishing a corresponding relation between the user information and the hardness-softness pre-adjustment information. Correspondingly, the determining the soft hardness pre-adjustment information based on the user information includes: and determining soft and hard degree pre-adjustment information through the corresponding relation between the user information and the soft and hard degree pre-adjustment information based on the user information. As shown in fig. 2, the method for adjusting the softness and hardness of the intelligent mattress comprises the following steps:
and S210, acquiring real-time user image information shot by the network camera.
And S220, determining user information based on the real-time user image information.
And S230, establishing a corresponding relation between the user information and the hardness-softness pre-adjustment information.
The corresponding relationship between the user information and the hardness-softness pre-adjustment information means that for a certain user information, the user information can correspond to only one hardness-softness pre-adjustment information. For example, in a specific embodiment, the user information has A, B, C types, and the soft or hard pre-adjustment information has X, Y, Z types, where a corresponds to X, B corresponds to Y, and C corresponds to Z, the soft or hard pre-adjustment information will be X when the user information is a, and the soft or hard pre-adjustment information will be Y when the user information is B.
And S240, determining soft hardness pre-adjustment information through the corresponding relation between the user information and the soft hardness pre-adjustment information based on the user information.
The corresponding relation between the user information and the soft hardness pre-adjustment information is known, so that the soft hardness pre-adjustment information can be conveniently obtained after the user information is determined.
And S250, adjusting the hardness of the intelligent mattress based on the hardness pre-adjustment information.
According to the scheme, the corresponding relation between the user information and the soft and hard degree pre-adjustment information is established in advance, so that the soft and hard degree pre-adjustment information can be conveniently determined through the corresponding relation between the user information and the soft and hard degree pre-adjustment information based on the user information, the user is convenient to use, and the use feeling is good.
In an alternative embodiment of the present invention, the user information includes user identification information and user number information.
The user identification information is information that can indicate the user's own features, such as a face contour, a position of five sense organs, a pupil distance, and the like. The user number information refers to the number of people in the image shot by the network camera, and as multiple people are possible in a bedroom, the user who lies on the intelligent mattress during sleeping also has multiple people, different people usually have a fixed sleeping position, and the hardness of different positions required by different people are different, so that the hardness and the hardness of different positions of the intelligent mattress can be better adjusted by simultaneously acquiring the user identification information and the user number information.
For example, the identification information of the user a and the user B are X1 and X2, respectively, the sleep situations on the intelligent mattress are divided into three, namely a sleep alone, B sleep alone and AB sleep together, at this time, the number of people has two situations of 1 person and 2 persons, so that the total number of images with the user acquired by the network camera is 3, namely, the user identification information is X1 and the user number information is 1, the user identification information is X2 and the user number information is 1, and the user identification information is X1 and X2 and the user number information is 2, the user can input the hardness and softness of the intelligent mattress required under different conditions, i.e., the hardness-softness preconditioning information, and associates it with the user identification information and the user quantity information, therefore, the hardness of different positions of the intelligent mattress can be adjusted according to the user identification information and the user quantity information, so that the intelligent mattress can meet the user requirements and the comfort level of the user is improved.
In an optional embodiment of the present invention, as shown in fig. 3, the establishing a correspondence between the user information and the hardness-softness pre-adjustment information includes:
and S231, acquiring user information.
The user information can be manually input by a user or detected by a camera.
And S232, adjusting the hardness of the intelligent mattress based on a preset hardness adjustment rule until a stop signal is obtained.
The preset hardness adjustment rule refers to a preset rule capable of continuously adjusting the hardness of different positions of the mattress. For example, the intelligent mattress can detect pressure, calculate hardness and softness data which are more in line with human engineering through a specific algorithm according to the borne pressure and continuously adjust the hardness and softness in a certain range, and the hardness and softness in different positions of the intelligent mattress can be gradually adjusted in different modes.
Stop signal's production mode has the multiple, for example there is the stop button on the intelligent mattress, the user presses the stop button when reaching suitable soft or hard degree, perhaps intelligent mattress can with the APP communication on the cell-phone, the user sends stop signal through cell-phone APP when reaching suitable soft or hard degree, perhaps intelligent mattress can with the APP communication on the cell-phone, the APP can receive pronunciation, perhaps intelligent mattress can automatic identification pronunciation, stop signal is sent in pronunciation when reaching suitable soft or hard degree to the user.
And S233, generating hardness and softness pre-adjustment information based on the current hardness and softness of the intelligent mattress.
The hardness-softness pre-adjustment information refers to specific adjustment parameters for adjusting the hardness of the intelligent mattress, so that the corresponding hardness-softness pre-adjustment information can be generated according to the current hardness of the intelligent mattress.
And S234, associating the user information with the soft hardness pre-adjustment information to generate a corresponding relation between the user information and the soft hardness pre-adjustment information.
The user information and the hardness-softness pre-adjustment information are associated, so that the corresponding relation between the user information and the hardness-softness pre-adjustment information can be conveniently generated, and the hardness-softness pre-adjustment information can be determined according to the user information at a later stage.
EXAMPLE III
Fig. 4 is a flowchart of a method for adjusting softness and hardness of an intelligent mattress according to a third embodiment of the present invention, which is improved based on the second embodiment, and optionally, after adjusting softness and hardness of the intelligent mattress based on the softness and hardness pre-adjustment information, the method further includes: determining whether the user gets into bed; if so, determining the secondary adjustment information of the hardness of the intelligent mattress; and adjusting the hardness of the intelligent mattress based on the hardness secondary adjustment information. As shown in fig. 4, the method for adjusting the softness and hardness of the intelligent mattress comprises the following steps:
and S310, acquiring real-time user image information shot by the network camera.
And S320, determining user information based on the real-time user image information.
S330, establishing a corresponding relation between the user information and the hardness-softness pre-adjusting information.
And S340, determining soft hardness pre-adjustment information through the corresponding relation between the user information and the soft hardness pre-adjustment information based on the user information.
And S350, adjusting the hardness of the intelligent mattress based on the hardness pre-adjustment information.
And S360, determining whether the user gets into the bed or not.
Wherein, whether the user gets into bed means whether the user lies on intelligent mattress.
If yes, go to step S370, otherwise go to step S360.
And S370, determining the secondary hardness and hardness adjustment information of the intelligent mattress.
The secondary softness and hardness adjusting information refers to specific adjusting parameters for adjusting the softness and hardness of the intelligent mattress when a user lies on the intelligent mattress. Because the user is in different periods, the softness and hardness of required intelligent mattress may be different, for example the waist is uncomfortable in the same day, and the waist may be required to be soft at ordinary times, so through carrying out secondary adjustment to the softness and hardness of intelligent mattress when the user lies on intelligent mattress, user's comfort level can be improved, for example user's weight changes, then the softness and hardness that needs may also be different.
And S380, adjusting the hardness of the intelligent mattress based on the hardness secondary adjustment information.
The secondary softness and hardness adjusting information refers to specific adjusting parameters for adjusting the softness and hardness of the intelligent mattress when a user lies on the intelligent mattress, so that the softness and hardness of the intelligent mattress can be conveniently adjusted according to the specific adjusting parameters.
Above-mentioned scheme adjusts the soft or hard degree of intelligent mattress in advance through when the user does not lie on intelligent mattress, carries out the secondary to the soft or hard degree of intelligent mattress when the user lies on intelligent mattress and adjusts, can improve user's comfort level. Meanwhile, since the user is pre-adjusted when not lying on the intelligent mattress, the user usually only fine-tunes when lying on the intelligent mattress, and the comfort of the user is still better during adjustment.
In an alternative embodiment of the present invention, as shown in fig. 5, the determining whether the user gets into bed includes:
and S361, obtaining the pressure bearing information of the intelligent mattress.
The pressure bearing information refers to pressure applied to the intelligent mattress when a user lies on the intelligent mattress. The pressure bearing information of the intelligent mattress can be obtained by arranging a dot matrix type pressure sensor on the intelligent mattress for detection.
And S362, determining whether the bearing pressure information is greater than a preset pressure threshold value.
If so, go to step S363, otherwise, determine that the user is not getting into bed, and continue to go to step S362.
Even when no person is present in the bed, the accuracy of detection varies, and therefore the detected information on the received pressure has a certain floating space, and is not necessarily completely 0. The preset pressure threshold value is a value that the information of the bearing pressure of the user is certainly larger than when the user lies on the bed, when the information of the bearing pressure is larger than the preset pressure threshold value, the fact that the user is in the bed is indicated, and when the information of the bearing pressure is not larger than the preset pressure threshold value, the fact that the user is not in the bed is indicated.
And S363, confirming that the user gets into the bed.
Wherein, confirming that the user is in bed confirms that the user is lying in bed at this time.
On the basis of the above embodiment, the determining the softness and hardness secondary adjustment information of the intelligent mattress includes:
and determining secondary softness and hardness adjusting information based on the bearing pressure information.
Wherein, user's weight is different, and the bearing pressure information can be different, and required soft or hard degree is also different, through based on the bearing pressure information confirms soft or hard degree secondary regulation information, can make soft or hard degree secondary regulation information more laminate user's demand, improves user experience and feels.
On the basis of the above embodiment, the determining the secondary adjustment information of the softness and hardness of the intelligent mattress includes:
and sending out adjustment inquiry voice information, and acquiring secondary hardness adjustment information input by the user based on the adjustment inquiry voice information.
The adjusting and inquiring voice information refers to interacting with the user in a voice mode, and determining whether the user needs to adjust the hardness and how to adjust the hardness. The secondary hardness and softness adjustment information input by the user based on the adjustment inquiry voice information is specific parameter information of hardness and softness adjustment replied by the user and the intelligent mattress through voice interaction. Through carrying out the preconditioning earlier, then the user carries out speech interaction with intelligent mattress again, and the soft or hard degree of secondary regulation mattress can make the soft or hard degree comparatively accord with the user's demand, and the user is difficult for having uncomfortable sense during the adjustment simultaneously.
Example four
Fig. 6 is a schematic structural diagram of an intelligent mattress softness and hardness adjusting device provided by the fourth embodiment of the invention. As shown in fig. 6, the apparatus includes:
and the obtaining module 61 is configured to obtain real-time user image information captured by the network camera.
A user information determination module 62 for determining user information based on the real-time user image information.
And an adjusting information determining module 63, configured to determine soft and hard pre-adjusting information based on the user information.
And the adjusting module 64 is used for adjusting the hardness of the intelligent mattress based on the hardness pre-adjusting information.
Optionally, the apparatus further includes a setup module.
And the establishing module is used for establishing the corresponding relation between the user information and the hardness-softness pre-adjusting information.
Correspondingly, the adjusting information determining module 63 is further configured to determine the soft hardness pre-adjusting information according to the corresponding relationship between the user information and the soft hardness pre-adjusting information based on the user information.
Optionally, the establishing module includes an obtaining sub-module, an adjusting sub-module, a generating sub-module, and an associating sub-module.
And the acquisition submodule is used for acquiring the user information.
And the adjusting submodule is used for adjusting the hardness of the intelligent mattress based on a preset hardness adjusting rule until a stop signal is obtained.
And the generation submodule is used for generating soft hardness pre-adjustment information based on the current soft hardness of the intelligent mattress.
And the association submodule is used for associating the user information with the hardness-softness pre-adjustment information to generate a corresponding relation between the user information and the hardness-softness pre-adjustment information.
Optionally, the user information includes user identification information and user number information.
Optionally, the apparatus further comprises a bed entering determination module, a secondary adjustment determination module, and a secondary adjustment module.
And the bed getting determining module is used for determining whether the user gets into the bed.
And the secondary adjustment determining module is used for determining the secondary adjustment information of the hardness of the intelligent mattress if the secondary adjustment information is positive.
And the secondary adjusting module is used for adjusting the hardness of the intelligent mattress based on the hardness secondary adjusting information.
Optionally, the bed entering determination module includes a pressure obtaining sub-module, a pressure determination sub-module, and a bed entering determination sub-module.
And the pressure acquisition submodule is used for acquiring the bearing pressure information of the intelligent mattress.
And the pressure determining submodule is used for determining whether the bearing pressure information is greater than a preset pressure threshold value.
And the bed-entering determining submodule is used for confirming that the user enters the bed if the user enters the bed.
Optionally, the secondary adjustment determining module is further configured to determine secondary softness and hardness adjustment information based on the bearing pressure information.
Optionally, the secondary adjustment determining module is further configured to send out adjustment query voice information, and obtain secondary adjustment information of hardness and softness input by the user based on the adjustment query voice information.
The intelligent mattress hardness adjusting device provided by the embodiment of the invention can execute the intelligent mattress hardness adjusting method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the executing method.
EXAMPLE five
Fig. 7 shows a schematic structural diagram of an intelligent mattress firmness adjustment system that can be used to implement an embodiment of the invention. The smart mattress softness and hardness adjustment system is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. The smart mattress softness/hardness adjustment system may also represent various forms of mobile devices and devices that include the aforementioned digital computers, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), smart mattresses 10, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 7, the intelligent mattress softness and hardness adjusting system comprises a network camera 20 and an intelligent mattress 10.
The network camera 20 is used for shooting indoors to obtain real-time user image information.
The smart mattress 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM)12, a Random Access Memory (RAM)13, etc., wherein the memory stores computer programs executable by the at least one processor, and the processor 11 may perform various suitable actions and processes according to the computer programs stored in the Read Only Memory (ROM)12 or the computer programs loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM13, various programs and data required for the operation of the intelligent mattress firmness adjustment system may also be stored. The processor 11, ROM12, and RAM13 are connected to each other by a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
A plurality of components in the intelligent mattress softness and hardness adjusting system are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, or the like; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the intelligent mattress firmness adjustment system to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The processor 11 performs the various methods and processes described above, such as the smart mattress 10 firmness adjustment method.
In some embodiments, the smart mattress 10 firmness adjustment method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the intelligent mattress firmness adjustment system via the ROM12 and/or the communication unit 19. When the computer program is loaded into RAM13 and executed by processor 11, one or more of the steps of the firmness adjustment of smart mattress 10 described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured by any other suitable means (e.g., by means of firmware) to perform the smart mattress 10 firmness adjustment method.
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described herein may be implemented on an intelligent mattress firmness adjustment system having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user may provide input to the intelligent mattress firmness adjustment system. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired result of the technical solution of the present invention can be achieved.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. An intelligent mattress hardness adjusting method is used for an intelligent mattress hardness adjusting system, and the intelligent mattress hardness adjusting system comprises an intelligent mattress and a network camera; the method for adjusting the hardness of the intelligent mattress is characterized by comprising the following steps:
acquiring real-time user image information shot by a network camera;
determining user information based on the real-time user image information;
determining hardness-softness preconditioning information based on the user information;
and adjusting the hardness of the intelligent mattress based on the hardness pre-adjustment information.
2. The method for soft or hard conditioning an intelligent mattress according to claim 1, wherein before determining the soft or hard pre-conditioning information based on the user information, the method further comprises:
establishing a corresponding relation between user information and soft and hard degree pre-adjustment information;
correspondingly, the determining the soft hardness pre-adjustment information based on the user information includes:
and determining the hardness-softness pre-adjustment information through the corresponding relation between the user information and the hardness-softness pre-adjustment information based on the user information.
3. The method for adjusting softness and hardness of an intelligent mattress according to claim 2, wherein the establishing of the corresponding relationship between the user information and the softness and hardness pre-adjustment information comprises:
acquiring user information;
adjusting the hardness of the intelligent mattress based on a preset hardness adjustment rule until a stop signal is obtained;
generating hardness pre-adjusting information based on the current hardness of the intelligent mattress;
and correlating the user information with the soft and hard degree pre-adjustment information to generate a corresponding relation between the user information and the soft and hard degree pre-adjustment information.
4. The intelligent mattress softness and hardness adjusting method according to any one of claims 1 to 3, wherein the user information includes user identification information and user quantity information.
5. The method for adjusting softness and hardness of a smart mattress according to any one of claims 1 to 3, wherein after adjusting the softness and hardness of the smart mattress based on the softness and hardness pre-adjustment information, the method further comprises:
determining whether the user gets into bed;
if so, determining the secondary hardness and hardness adjustment information of the intelligent mattress;
and adjusting the hardness of the intelligent mattress based on the hardness secondary adjustment information.
6. The method of adjusting softness and hardness of an intelligent mattress according to claim 5, wherein the determining whether the user gets into the bed includes:
acquiring the bearing pressure information of the intelligent mattress;
determining whether the bearing pressure information is greater than a preset pressure threshold value;
if yes, the user is confirmed to get on the bed.
7. The method for adjusting softness and hardness of intelligent mattress according to claim 6, wherein the determining the secondary adjustment information of softness and hardness of the intelligent mattress comprises:
determining secondary hardness and hardness adjustment information based on the bearing pressure information;
and/or, the determining of the secondary adjustment information of the softness and hardness of the intelligent mattress comprises the following steps:
and sending out adjustment inquiry voice information, and acquiring secondary software and hardness adjustment information input by a user based on the adjustment inquiry voice information.
8. The utility model provides an intelligence mattress soft or hard adjusting device which characterized in that includes:
the acquisition module is used for acquiring real-time user image information shot by the network camera;
the user information determining module is used for determining user information based on the real-time user image information;
the adjusting information determining module is used for determining soft and hard pre-adjusting information based on the user information;
and the adjusting module is used for adjusting the hardness of the intelligent mattress based on the hardness pre-adjusting information.
9. An intelligent mattress hardness adjusting system is characterized by comprising a network camera and an intelligent mattress;
the network camera is used for shooting indoors to obtain real-time user image information;
the intelligent mattress comprises at least one processor and a memory which is in communication connection with the at least one processor;
wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the intelligent mattress firmness adjustment method of any one of claims 1-7.
10. A computer-readable storage medium storing computer instructions for causing a processor to perform the intelligent mattress firmness adjustment method of any one of claims 1 to 7 when executed.
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