CN105373697B - Sleep pattern open method and device - Google Patents
Sleep pattern open method and device Download PDFInfo
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- CN105373697B CN105373697B CN201510659384.2A CN201510659384A CN105373697B CN 105373697 B CN105373697 B CN 105373697B CN 201510659384 A CN201510659384 A CN 201510659384A CN 105373697 B CN105373697 B CN 105373697B
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- 238000000034 method Methods 0.000 title claims abstract description 41
- 201000005671 spondyloarthropathy Diseases 0.000 claims description 17
- 201000010099 disease Diseases 0.000 claims description 9
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 9
- 230000036772 blood pressure Effects 0.000 claims description 6
- 230000036760 body temperature Effects 0.000 claims description 6
- 238000005516 engineering process Methods 0.000 abstract description 6
- 230000004913 activation Effects 0.000 description 22
- 238000010586 diagram Methods 0.000 description 16
- 230000036541 health Effects 0.000 description 8
- 230000004308 accommodation Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 3
- 238000012790 confirmation Methods 0.000 description 2
- 239000003814 drug Substances 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000011218 segmentation Effects 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000009849 deactivation Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000004321 preservation Methods 0.000 description 1
- 210000004243 sweat Anatomy 0.000 description 1
- 230000035900 sweating Effects 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
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- G06F19/3418—
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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
- A47C21/04—Devices for ventilating, cooling or heating
- A47C21/048—Devices for ventilating, cooling or heating for heating
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- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The disclosure discloses a kind of sleep pattern open method and device, belongs to smart home field.The sleep pattern open method comprises determining that user at home；The recent medical case of the user is called from Cloud Server, the case medical in the recent period is the medical case of the medical case or the user finally got for the Cloud Server before calling the moment in scheduled duration；It is that the user recommends sleep pattern according to the case medical in the recent period；When the user falls asleep, the sleep pattern of the intelligent mattress is opened.By determining client at home, the recent medical case of user at home is called from Cloud Server, is that user recommends sleep pattern, and when user falls asleep, opens above-mentioned sleep pattern according to recent medical case.The sleep pattern that the disclosure solves intelligent mattress in the related technology must be manually selected by user, problem not smart enough；Achieve the effect that automatically to be that user selects sleep pattern.
Description
Technical Field
The disclosure relates to the field of smart homes, in particular to a sleep mode starting method and device.
Background
With the improvement of living standard, modern families begin to pay more and more attention to health preservation.
For example, in daily life, a household can be provided with an intelligent massage mattress, when a user uses the intelligent massage mattress, the user can select a massage mode provided by the intelligent massage mattress, and the intelligent massage mattress works according to the massage mode selected by the user.
Disclosure of Invention
In order to solve the problem that the mode of the intelligent massage mattress in the related art is manually selected by a user and the intelligent mattress cannot fully play a health care role easily because the user forgets to select the mode, the disclosure provides a sleep mode starting method and a sleep mode starting device. The technical scheme is as follows:
according to a first aspect of the embodiments of the present disclosure, there is provided a sleep mode starting method applied to a smart mattress, the method including:
determining a user at home;
calling a recent case of visit of the user from a cloud server, wherein the recent case of visit is a case of visit within a preset time period before the calling moment or a case of visit of the user obtained by the cloud server last;
recommending a sleep mode for the user according to the recent medical cases;
and when the user falls asleep, starting the sleep mode of the intelligent mattress.
Optionally, the determining the user at home includes:
the method comprises the steps that intelligent equipment connected with a router is obtained from the router in the home, and a user holding the intelligent equipment is determined, wherein the intelligent equipment comprises at least one of a smart phone, a tablet computer and a wearable device; or,
acquiring positioning data obtained after a positioning system in the intelligent equipment positions the intelligent equipment, and determining a user expected to go home on the current day according to the positioning data obtained by the positioning of the intelligent equipment; or,
and acquiring the online records of the users, and determining the users staying on the day, wherein the online records are calendars, chat records or mails.
Optionally, the recommending a sleep mode for the user according to the recent medical cases includes:
judging the state of illness of the user according to the recent visit case;
when the illness state is a cold, recommending a high-temperature mode for the user, wherein the intelligent mattress in the high-temperature mode keeps the provided temperature at a preset high temperature during working;
and when the disease condition is a spondylopathy, recommending a spondylopathy treatment mode for the user, adjusting the height of a pillow on the intelligent mattress according to the height of the pillow suggested in the recent case, and adjusting the hardness distribution of the intelligent mattress according to the hardness suggested in the recent case.
Optionally, the method further includes:
pushing the sleep mode to a smart phone of the user, wherein the sleep mode is used for triggering the smart phone to prompt, if the smart mattress does not receive a cancellation notice sent by the smart phone, the step of starting the sleep mode of the smart mattress when the user falls asleep is executed, and the cancellation notice is used for indicating that the sleep mode recommended by the smart mattress is cancelled; or,
if the situation that the user is at home and the smart television at home is started is monitored, pushing the sleep mode to the smart television, wherein the sleep mode is used for triggering the smart television to display the sleep mode.
Optionally, the method further includes:
determining whether the user falls asleep or not through an image acquired by an intelligent camera installed in a home; or,
determining whether the user falls asleep or not through physiological characteristic parameters acquired by wearable equipment worn by the user, wherein the physiological characteristic parameters are heart rate, blood pressure or body temperature; or,
the method comprises the steps of obtaining the closing state of an intelligent lamp, an intelligent door and window and/or entertainment equipment in a home, and determining whether a user falls asleep, wherein the entertainment equipment comprises an intelligent television, a sound box or a desktop computer; or,
and acquiring the physiological characteristic parameters of the user acquired by the intelligent mattress, and determining whether the user falls asleep.
According to a second aspect of the embodiments of the present disclosure, there is provided a sleep mode activation device for use in an intelligent mattress, the device including:
a first determination module configured to determine a user at home;
a calling module configured to call the recent medical record of the user determined by the first determining module from a cloud server, where the recent medical record is a medical record within a predetermined time period before a calling time or a medical record of the user acquired last by the cloud server;
the recommending module is configured to recommend a sleep mode for the user according to the recent medical cases called by the calling module;
the starting module is configured to start the sleep mode of the intelligent mattress when the user falls asleep according to the sleep mode recommended by the recommending module.
Optionally, the first determining module includes:
the first determining sub-module is configured to acquire a smart device connected with a router from the router in a home, and determine a user holding the smart device, wherein the smart device comprises at least one of a smart phone, a tablet computer and a wearable device; or,
the second determining submodule is configured to obtain positioning data obtained after the positioning system in the intelligent device positions the intelligent device, and determine a user expected to go home on the current day according to the positioning data obtained by the positioning of the intelligent device; or,
and the third determining submodule is configured to acquire an online record of the user and determine the user staying on the day, wherein the online record is a calendar, a chat record or a mail.
Optionally, the recommending module includes:
a determination submodule configured to determine a medical condition of the user from the recent medical visit;
a first recommending submodule configured to recommend a high temperature mode for the user when the illness condition determined by the determining submodule is a cold, the intelligent mattress in the high temperature mode maintaining a supplied temperature at a predetermined high temperature while operating;
and the second recommending submodule is configured to recommend a spine treatment mode for the user when the disease condition judged by the judging submodule is a spine disease, the intelligent mattress in the spine treatment mode adjusts the height of the pillow on the intelligent mattress according to the height of the pillow recommended in the recent case, and the hardness distribution of the intelligent mattress is adjusted according to the hardness recommended in the recent case.
Optionally, the apparatus further comprises:
the first pushing module is configured to push the sleep mode recommended by the recommending module to a smart phone of the user, the sleep mode is used for triggering the smart phone to prompt, the opening module is further configured to open the sleep mode of the smart mattress when the user falls asleep when the smart mattress does not receive a cancellation notice sent by the smart phone, and the cancellation notice is used for indicating that the sleep mode recommended by the smart mattress is cancelled; or,
the second pushing module is configured to push the sleep mode recommended by the recommending module to the smart television if the situation that the user is at home and the smart television at home is started is monitored, and the sleep mode is used for triggering the smart television to display the sleep mode.
Optionally, the apparatus further comprises:
the second determination module is configured to determine whether the user falls asleep or not through images acquired by an intelligent camera installed in a home; or,
a third determining module configured to determine whether the user has fallen asleep through a physiological characteristic parameter acquired by a wearable device worn by the user, the physiological characteristic parameter being a heart rate, a blood pressure, or a body temperature; or,
the fourth determination module is configured to acquire the closing state of an in-home intelligent lamp, an intelligent door and window and/or entertainment equipment and determine whether the user falls asleep, wherein the entertainment equipment comprises an intelligent television, a sound box or a desktop computer; or,
a fifth determination module configured to acquire the physiological characteristic parameters of the user collected by the smart mattress and determine whether the user has fallen asleep.
According to a third aspect of the embodiments of the present disclosure, there is provided a sleep mode activation device for use in a smart mattress, the device including:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to:
determining a user at home;
calling a recent case of visit of the user from a cloud server, wherein the recent case of visit is a case of visit within a preset time period before the calling moment or a case of visit of the user obtained by the cloud server last;
recommending a sleep mode for the user according to the recent medical cases;
and when the user falls asleep, starting the sleep mode of the intelligent mattress.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
calling recent clinic cases of the user at home from a cloud server by determining the user at home, recommending a sleep mode for the user according to the recent clinic cases, and starting the sleep mode when the user falls asleep; because a proper sleep mode is recommended for the user according to the medical cases of the user at home, the problem that the intelligent massage mattress cannot fully play a health care role easily because the user forgets to select the sleep mode of the intelligent massage mattress in the related technology because the sleep mode of the intelligent massage mattress must be manually selected by the user is solved; the intelligent mattress has the advantages that the appropriate sleep mode can be automatically selected for the user, and the intelligent mattress can fully play a health-care role.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a schematic illustration of an implementation environment in which a sleep mode activation method according to some exemplary embodiments is described;
FIG. 2 is a method flow diagram illustrating a sleep mode activation method in accordance with an exemplary embodiment;
FIG. 3A is a method flow diagram illustrating a sleep mode activation method in accordance with another exemplary embodiment;
FIG. 3B is a schematic diagram illustrating one manner in which a user at home is determined, according to an example embodiment;
FIG. 3C is a flow diagram illustrating a process when a sleep mode is recommended for a user in terms of recent medical visits in accordance with an exemplary embodiment;
FIG. 3D is a schematic diagram illustrating a push sleep mode interface on a smartphone, according to an example embodiment;
fig. 3E is a diagram illustrating a push sleep mode on a smart tv in accordance with an exemplary embodiment;
FIG. 3F is a schematic diagram illustrating one manner of detecting whether a user has fallen asleep in accordance with an exemplary embodiment;
FIG. 4 is a block diagram illustrating the structure of a sleep mode activation device according to an exemplary embodiment;
fig. 5 is a block diagram illustrating a structure of a sleep mode activation apparatus according to another exemplary embodiment;
fig. 6 is a block diagram illustrating a structure of a sleep mode activation apparatus according to still another exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
Fig. 1 is a schematic diagram of an implementation environment related to a sleep mode activation method according to a part of an exemplary embodiment, and as shown in fig. 1, the implementation environment relates to a smart home scenario and may include a smart mattress 120, a smart device 140, a cloud server 160, and a router 180.
The router 180 provides Wireless local area network WiFi (Wireless Fidelity) based IEEE 802.11b standards for various smart devices 140 in the home.
Both the smart mattress 120 and the smart device 140 may be bound to a user account, where the smart device 140 may be a smart phone, a tablet computer, a multimedia player, a smart air conditioner, an air purifier, a smart door/window, or a wearable device.
Optionally, the smart mattress 120 may be bound to at least one user account, and the smart devices 140 are also bound to the user account.
The smart mattress 120 may be connected to the smart device 140 via a wireless network. The wireless network referred to herein may be Wi-Fi or Bluetooth, etc. The smart mattress 120 may be connected to the cloud server 160 through the router 180.
Fig. 2 is a flowchart illustrating a method of a sleep mode activation method according to an exemplary embodiment, which is applied to the smart mattress 120 in the implementation environment shown in fig. 1, as shown in fig. 2, and includes the following steps.
In step 201, a user at home is determined.
In step 202, a recent medical record of the user is called from the cloud server, where the recent medical record is a medical record within a predetermined time period before the calling time or a medical record of the user last acquired by the cloud server.
In step 203, a sleep pattern is recommended for the user in terms of recent medical visits.
In step 204, when the user falls asleep, the sleep mode of the smart mattress is turned on.
In summary, according to the sleep mode starting method provided in the embodiment of the present disclosure, a user at home is determined, a recent medical record of the user at home is called from a cloud server, a sleep mode is recommended for the user according to the recent medical record, and when the user falls asleep, the sleep mode is started; because a proper sleep mode is recommended for the user according to the medical cases of the user at home, the problem that the intelligent massage mattress cannot fully play a health care role because the sleep mode of the intelligent massage mattress in the related technology is manually selected by the user and the user forgets to select the sleep mode is solved; the intelligent mattress has the advantages that the appropriate sleep mode can be automatically selected for the user, and the intelligent mattress can fully play a health-care role.
Fig. 3A is a flowchart illustrating a method of a sleep mode activation method according to another exemplary embodiment, which is applied to the smart mattress 120 in the implementation environment shown in fig. 1, as shown in fig. 3A, and includes the following steps.
In step 301, a user at home is determined.
The user mentioned herein may be used to refer to a user account or a user corresponding to the smart device identifier. For a smart mattress or other smart devices, the smart mattress or other smart devices can recognize a user account or a smart device identifier bound to the user account, and thus the user account or the smart device identifier bound to the user account can be used to indicate a user.
In the environment of smart home, various smart devices in a home can be bound with user accounts of users, and direct interconnection communication can be realized among the various smart devices, so that the smart mattress can have various modes when determining the users in the home.
In one possible implementation, please refer to fig. 3B, which is a schematic diagram illustrating a manner of determining a user at home according to an exemplary embodiment, in fig. 3B, the manner of determining the user at home by the smart mattress may include the following three manners:
in the method 301a, an intelligent device connected to a router is acquired from the router in the home, and a user holding the intelligent device is determined, where the intelligent device includes at least one of a smartphone, a tablet computer, and a wearable device.
A smart device as referred to herein is generally a device that can be carried around by a user, such as a smartphone, tablet, or wearable device.
The wearable device is a device carried by a user, such as an intelligent bracelet, an intelligent button, an intelligent tie clip, an intelligent watch, and the like. The present embodiment does not limit the wearable device.
In one possible application scenario, the smart phone and the wearable device are typically carried around by the user, such as when the user is away from home, and the smart phone and the wearable device are typically carried around by the user. When the user is at home, the smartphone and the wearable device held by the user are also generally at home. Since a router is usually arranged in a home to provide a network access function for internet access devices in the home, especially a wireless router which is often configured in the home now provides a WiFi network environment for the home. After the smart phone and the wearable device are connected with the wireless router for the first time, the wireless router can be automatically connected once the connected wireless router is detected during subsequent use.
Therefore, after the intelligent mattress is connected with the router in the home, an acquisition request for requesting to acquire the information of the connected devices can be sent to the router, the acquisition request is used for triggering the router to inquire the device identifications of the intelligent devices which are connected, and the device identifications are fed back to the intelligent mattress. The intelligent mattress can judge each intelligent device connected with the router according to the identifications. That is to say, the intelligent mattress can obtain the intelligent equipment connected with the router from the router in the home, and determine the user who holds the intelligent equipment. When a smart device is connected to the router, it indicates that the holder of the smart device is usually at home.
Optionally, after the device identifiers are acquired from the router, the intelligent mattress may send an inquiry request carrying the device identifiers to the cloud server, where the inquiry request user triggers the cloud server to inquire the user accounts bound to the device identifiers, and feeds back the user accounts to the intelligent mattress. In this way, the smart mattress can then learn of the user at home.
In the mode 301b, positioning data obtained after the positioning system in the smart device positions the smart device is obtained, and a user expected to go home on the current day is determined according to the positioning data obtained by the positioning of the smart device.
Some smart devices have a positioning System, such as a common Global Positioning System (GPS) or a beidou positioning System, which can position the positioning data (i.e., the geographic location) of the smart device in real time, and the positioning data can be represented by longitude and latitude.
The intelligent mattress can also learn the positioning data of the household internal fixed equipment, and whether the holding user of the intelligent equipment can come home on the same day is judged by utilizing the acquired positioning data of the intelligent equipment and the positioning data of the household internal fixed equipment. The home fixed equipment is usually intelligent equipment that the user can not carry about, such as a router, an intelligent mattress, an intelligent air conditioner, an air purifier, an intelligent camera and the like in the home.
Optionally, the positioning data that the positioning system obtained after locating the smart device in acquireing the smart device of smart mattress, or when acquireing the positioning data of fixed equipment in the family, can send the positioning data to the cloud ware and acquire the request, this positioning data acquires the request and is used for triggering cloud ware inquiry and the intelligent device that each user account number and every user account number bound that this smart mattress bound and fixed equipment's positioning data, these positioning data can be that intelligent device and fixed equipment fix a position in real time and upload to the cloud ware in real time.
Optionally, the intelligence mattress can also set up positioning system, and the intelligence mattress utilizes this positioning system to learn the location data of self, after the geographical position of location data had been acquireed to the intelligence mattress, then can utilize the location data of smart machine and the location data that self location obtained calculate to judge whether holding of smart machine the user can catch up home on the same day.
Optionally, the intelligent mattress may calculate an average moving speed of the intelligent device by using the positioning data of the intelligent device, and estimate whether the holding user of the intelligent device will come home on the same day by using the current geographic position of the intelligent device and the geographic position of the fixed device in the home.
In the method 301c, the online record of the user is obtained, and the user staying on the day is determined, and the online record is a calendar, a chat record or a mail.
The intelligent mattress can also send an online record acquisition request to the cloud server, wherein the online record acquisition request is used for triggering the cloud server to inquire each user account number bound with the intelligent mattress, inquiring the online records corresponding to the user account numbers, and feeding the inquired online records and the user account numbers back to the intelligent mattress, and the intelligent mattress analyzes the network records to determine the user staying in the home on the day.
The network record referred to herein may be a calendar, a chat log, or a mail. Obviously, the network record may be other contents, and this embodiment does not limit this.
It should be noted that, the online records of the user are usually obtained only after the user gives the intelligent mattress, the intelligent mattress has the right to obtain the network records. For example, after receiving the network record acquisition request, the cloud server firstly queries each user account bound to the intelligent mattress, and queries whether the user accounts limit the authority of the intelligent mattress to acquire the network records, and if the user authorizes the intelligent mattress, the cloud server can feed back the network records corresponding to the user accounts to the intelligent mattress.
In another possible scenario, the smart mattress may further obtain user accounts that are not bound to the smart mattress, for example, the user with the user accounts may be a relative or a friend of a family member, that is, the user corresponding to the user account may be temporarily staying in the home on the same day.
In this case, if the user account sets the authority of online recording to be open, the intelligent mattress can be allowed to obtain the online recording, at this time, the intelligent mattress may first obtain the device identifiers of the intelligent devices currently connected to the router (including the device identifiers of the intelligent devices held by the temporary lodging user) from the router in the home, send the network record obtaining request carrying the device identifiers to the cloud server, the network record acquisition request is used for triggering the cloud server to inquire each user account number bound with the device identifications, and inquiring whether the user accounts limit the authority of the intelligent mattress to acquire the online records, if the user accounts authorize the intelligent mattress or do not set the authority of the online records, the cloud server can feed the online records corresponding to the user accounts back to the intelligent mattress.
Therefore, the intelligent mattress can still judge whether the temporary accommodation user stays on the same day according to the online records corresponding to the user accounts.
In step 302, the user's recent encounter cases are invoked from the cloud server.
The recent visit case referred to herein is a visit case within a predetermined time period before the call time or a visit case of the user that is last acquired by the cloud server.
After the smart mattress determines the user at home, a case obtaining request for requesting to call the recent case of visit corresponding to the user can be sent to the cloud server, and the case obtaining request is used for triggering the cloud server to inquire the recent case of visit of the user and feeding back the recent case of visit to the smart mattress.
Alternatively, the user may set the authority to query the medical cases, that is, may set to allow the medical cases to be queried by other devices, or may set to prohibit the medical cases from being queried by other devices. Correspondingly, when a recent case of a user is queried, the cloud server firstly judges the queried authority of the case of the user, and if the case of the user is set to be allowed to be queried, the queried recent case of the user can be fed back to the intelligent mattress.
Obviously, when the temporary accommodation user can open the authority of inquiring the case of the temporary accommodation user, the intelligent mattress can successfully acquire the recent case of the temporary accommodation user.
It should be noted that the medical cases of the user can be filled in by the doctor and then synchronized to the user account of the user at the cloud server side when the user visits the doctor, or the user can upload the medical cases filled in by the doctor to the cloud server side.
In step 303, a sleep pattern is recommended for the user in terms of recent medical visits.
Generally speaking, the intelligent mattress can be provided with different sleep modes, and some sleep modes can alleviate the physiological pain of user, and some sleep modes can provide health preserving environment for the user. Therefore, the intelligent mattress can recommend a proper sleep mode for the user according to the recent clinic cases of the user.
In one possible implementation, please refer to fig. 3C, which is a flowchart illustrating a process of recommending a sleep mode for a user according to a recent medical condition according to an exemplary embodiment, in fig. 3C, the smart mattress may include the following steps when recommending a sleep mode for a user according to a recent medical condition:
in step 303a, the condition of the user is determined based on recent medical visits.
Optionally, the intelligent mattress can extract keywords in recent cases of medical visits, and determine the state of illness of the user according to the keywords.
For example, a keyword library can be set in the intelligent mattress, the intelligent mattress firstly performs word segmentation on the text in the case of recent visit, then determines whether the vocabulary obtained by word segmentation is the keyword according to the keyword library, and if the vocabulary is the keyword, the condition of the user can be judged according to the keywords.
For example, when the keywords acquired from the recent medical visits are "running nose", "taking medicine", "sweating", and the like, it can be determined that the condition of the user is a cold.
For example, when the keywords acquired from the recent medical visits are "waist", "pain", "relief", "lying on a hard board bed", and the like, it can be determined that the condition of the user is a spondylopathy.
In practical implementation, the intelligent mattress provider can analyze keywords common to various diseases in the medical cases in advance, and store a keyword library formed by the keywords in the intelligent mattress in advance.
Optionally, the intelligent mattress may further obtain a keyword library from the server, for example, the intelligent mattress may send a keyword library obtaining request to the server, where the keyword library obtaining request is used to trigger the server to feed back the keyword library, and after receiving the keyword library, the intelligent mattress stores the received keyword library if the keyword library is not stored in the intelligent mattress; and if the intelligent mattress has the stored keyword library, replacing the stored keyword library by using the received keyword library.
In another possible implementation manner, the intelligent mattress can also send the medical cases to the medical case analysis server, and the medical case analysis server analyzes the illness states corresponding to the medical cases and feeds back the analysis results to the intelligent mattress.
In step 303b, when the condition is a cold, a high temperature mode is recommended for the user, and the intelligent mattress in the high temperature mode maintains the provided temperature at a predetermined high temperature while operating.
Generally, when a user catches a cold, the user may be required to sweat after taking a medicine, and a high temperature mode may be provided to the user, where the predetermined high temperature may be preset.
In step 303c, when the disease condition is a spondylopathy, a spondylopathy treatment mode is recommended for the user, the height of the pillow on the intelligent mattress in the spondylopathy mode is adjusted according to the height of the pillow suggested in the case of recent visit, and the hardness distribution of the intelligent mattress is adjusted according to the hardness suggested in the case of recent visit.
Generally, a doctor usually recommends that a spondylopathy patient lie on a hard board bed to relieve pain in the cervical region, so when it is determined that the condition of the user is spondylopathy, a spinal treatment mode can be recommended for the user.
In practical implementation, a specific implementation manner of the spine treatment mode can be set, for example, the height of the pillow on the mattress can be adjusted by the intelligent mattress in the spine treatment mode according to the pillow height suggested in the case of the recent visit, or the hardness distribution of the intelligent mattress can be adjusted according to the hardness suggested in the case of the recent visit.
In step 304, the sleep mode is pushed to the smart phone of the user; or if the user is monitored to be at home and the smart television at home is started, pushing the sleep mode to the smart television.
In actual life, the intelligent mattress can push the recommended sleep mode for the user to the user, so that the user can cancel the recommended sleep mode when the user does not intend to use the intelligent mattress on the same day, or the user can know the sleep mode to which the intelligent mattress is going to enter.
In one possible implementation manner, the smart mattress can push a sleep mode recommended for the user to the smart phone of the user, and the sleep mode pushed to the smart phone of the user is used for triggering the smart phone to prompt.
Optionally, in order to avoid that a plurality of smart mattresses exist at home, which easily causes that a user cannot distinguish which smart mattress recommends a sleep mode, when the sleep mode is displayed on a smart phone, an identifier of the smart mattress needs to be displayed. Referring to the prompt interface 31 shown in fig. 3D, the prompt interface 31 displays a sleep mode "high temperature mode" and a smart mattress identifier "smart mattress a", and is further provided with an accepting control 31a and a cancelling control 31b that can be selected by a user, and if the user selects the cancelling control 31b, the smart phone generates a cancelling notification and sends the cancelling notification to the smart mattress. If the user selects the accept control 31a, the smartphone may also generate a confirmation notification and send the confirmation notification to the smart mattress to notify the smart mattress that the sleep mode may be turned on for the user.
Generally speaking, after the smart mattress pushes the smart phone to the sleep mode, if the smart mattress does not receive the cancel notification sent by the smart phone, it indicates that the user allows the smart mattress to start the sleep mode by default, and at this time, the smart mattress may execute step 305 and step 306.
Obviously, the deactivation notice as referred to herein is used to instruct the smart mattress to deactivate the recommended sleep mode, i.e. not to switch on this sleep mode for the user.
In another possible implementation manner, if the smart mattress monitors that the smart television in the home is turned on, the sleep mode recommended for the user is pushed to the smart television, and the sleep mode is used for triggering the smart television to display the sleep mode.
Similarly, in order to avoid the situation that a plurality of intelligent mattresses exist at home, which easily causes that a user cannot distinguish which intelligent mattress recommends a sleep mode, when the sleep mode is displayed on the intelligent television, the identification of the intelligent mattress also needs to be displayed. Such as the prompt box 32 shown in fig. 3E, in which the sleep modes "high temperature mode" and "smart mattress a" provided by the smart mattress for the user are displayed in the prompt box 32, and a determination control 32a is also provided. After the user finishes checking the sleep mode of the prompt, in order to avoid the influence of the prompt box on the video being played by the smart television, the user may generate a predetermined signal through a predetermined key of the remote controller, and the predetermined signal may be used to select the determination control 32a to close the prompt box.
In step 305, it is detected whether the user has fallen asleep.
Because intelligent mattress can consume certain electric quantity after getting into sleep mode, in order to save the power consumption, can select after the user falls asleep, the sleep mode of automatic opening for this user's recommendation.
In a possible implementation, please refer to fig. 3F, which is a schematic diagram illustrating a manner of detecting whether a user falls asleep according to an exemplary embodiment, in fig. 3F, the manner of the smart mattress in determining whether the user falls asleep may include the following four manners:
in mode 305a, it is determined whether the user has fallen asleep through images captured by a smart camera installed in the home.
In actual home life, the house can be provided with intelligent camera, and this intelligent camera is used for gathering the image in the house. Because the user can walk around at home if at home, also the user can appear in the shooting visual angle of intelligent camera.
Generally speaking, an intelligent camera in a home is usually installed in a living room, if a user is moving in the living room, the user is included in an image captured by the intelligent camera, and if the user is not included in the image captured by the intelligent camera, it is usually indicated that the user is likely to go back to a bedroom for sleeping, and at this time, it can be determined whether the user has fallen asleep.
In the mode 305b, whether the user falls asleep is determined through a physiological characteristic parameter acquired by a wearable device worn by the user, where the physiological characteristic parameter is a heart rate, a blood pressure, or a body temperature.
The wearable device is internally provided with sensors which can be used for acquiring human physiological characteristic parameters, and the sensors can acquire the physiological characteristic parameters of the user in real time.
Generally, the physiological characteristic parameter will be different for different states of the user, such as a low heart rate for a sleep state of the user and a high heart rate for an awake state of the user. Therefore, the intelligent mattress can determine whether the user falls asleep or not according to the physiological characteristic parameters acquired through the wearable device worn by the user.
In mode 305c, the off state of the smart lights, smart doors and windows, and/or entertainment devices in the home, including a smart television, a sound box, or a desktop computer, is obtained, and it is determined whether the user has fallen asleep.
Since the closing of the smart light, the smart door and window, and the entertainment device in the home usually means that the user has fallen asleep or is ready to fall asleep, at this time, the smart mattress can know the closing states of the smart light, the smart door and window, and the entertainment device to determine whether the user has fallen asleep.
In the method 305d, the physiological characteristic parameters of the user collected by the smart mattress are obtained, and whether the user falls asleep is determined.
The intelligent mattress can also be provided with sensors for acquiring physiological characteristic parameters of human bodies, and whether the user falls asleep or not is determined according to the physiological characteristic parameters acquired by the sensors.
In step 306, if it is detected that the user has fallen asleep, the sleep mode of the smart mattress is turned on.
In summary, according to the sleep mode starting method provided in the embodiment of the present disclosure, a user at home is determined, a recent medical record of the user at home is called from a cloud server, a sleep mode is recommended for the user according to the recent medical record, and when the user falls asleep, the sleep mode is started; because a proper sleep mode is recommended for the user according to the medical cases of the user at home, the problem that the intelligent massage mattress cannot fully play a health care role because the sleep mode of the intelligent massage mattress in the related technology is manually selected by the user and the user forgets to select the sleep mode is solved; the intelligent mattress has the advantages that the appropriate sleep mode can be automatically selected for the user, and the intelligent mattress can fully play a health-care role.
The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods. For details not disclosed in the embodiments of the apparatus of the present disclosure, refer to the embodiments of the method of the present disclosure.
Fig. 4 is a block diagram illustrating a sleep mode activation device according to an exemplary embodiment, which is applied to the smart mattress 120 in the implementation environment shown in fig. 1, as shown in fig. 4, and includes but is not limited to: a first determination module 402, a calling module 404, a recommendation module 406, and an opening module 408.
A first determination module 402 configured to determine a user at home.
A calling module 404 configured to call, from the cloud server, the recent medical record of the user determined by the first determining module 402, where the recent medical record is a medical record within a predetermined time period before the calling time or a medical record of the user last acquired by the cloud server.
A recommending module 406 configured to recommend a sleep mode for the user according to the recent medical cases called by the calling module 404.
And the starting module 408 is configured to start the sleep mode of the intelligent mattress when the user falls asleep according to the sleep mode recommended by the recommending module 406.
In summary, the sleep mode activation apparatus provided in the embodiment of the present disclosure invokes a recent medical record of a user at home from a cloud server by determining the user at home, recommends a sleep mode for the user according to the recent medical record, and activates the sleep mode when the user falls asleep; because a proper sleep mode is recommended for the user according to the medical cases of the user at home, the problem that the intelligent massage mattress cannot fully play a health care role because the sleep mode of the intelligent massage mattress in the related technology is manually selected by the user and the user forgets to select the sleep mode is solved; the intelligent mattress has the advantages that the appropriate sleep mode can be automatically selected for the user, and the intelligent mattress can fully play a health-care role.
Fig. 5 is a block diagram illustrating a sleep mode activation device according to another exemplary embodiment, which is applied to the smart mattress 120 in the implementation environment shown in fig. 1, as shown in fig. 5, and includes but is not limited to: a determination module 502, a calling module 504, a recommendation module 506, and an opening module 508.
A first determination module 502 configured to determine a user at home.
In one possible implementation, the first determining module 502 may include: a first determination submodule 502a, or a second determination submodule 502b, or a third determination submodule 502 c.
The first determining submodule 502a is configured to acquire a smart device connected to a router from the router in a home, and determine a user holding the smart device, where the smart device includes at least one of a smartphone, a tablet computer, and a wearable device; or,
the second determining submodule 502b is configured to obtain positioning data obtained after the positioning system in the intelligent device positions the intelligent device, and determine a user expected to go home on the current day according to the positioning data obtained by the positioning of the intelligent device; or,
the third determining sub-module 502c is configured to obtain the online records of the user, and determine the user staying on the day, where the online records are a calendar, a chat record, or a mail.
A calling module 504 configured to call the recent medical record of the user determined by the first determining module 502 from the cloud server, where the recent medical record is a medical record within a predetermined time period before the calling time or a medical record of the user last acquired by the cloud server.
A recommending module 506 configured to recommend the sleep mode for the user according to the recent medical cases called by the calling module 504.
In one possible implementation, the recommending module 506 may further include: a decision sub-module 506a, a first recommendation sub-module 506b and a second recommendation sub-module 506 c.
A determination sub-module 506a configured to determine the condition of the user based on recent medical visits.
A first recommending submodule 506b configured to recommend a high temperature mode for the user when the condition determined by the determining submodule 506a is a cold, and the intelligent mattress in the high temperature mode maintains the provided temperature at a predetermined high temperature while operating.
And a second recommending submodule 506c configured to recommend a spine treatment mode for the user when the condition of the patient determined by the determining submodule 506a is a spine disease, wherein the intelligent mattress in the spine treatment mode adjusts the height of the pillow on the intelligent mattress according to the height of the pillow suggested in the case of the recent visit, and adjusts the hardness distribution of the intelligent mattress according to the hardness suggested in the case of the recent visit.
And the starting module 508 is configured to start the sleep mode of the intelligent mattress when the user falls asleep according to the sleep mode recommended by the recommending module 506.
In a possible embodiment, the sleep mode activation device may further include: a first push module 510, or a second push module 512.
The first pushing module 510 is configured to push the sleep mode recommended by the recommending module 506 to the smart phone of the user, where the sleep mode is used to trigger the smart phone to prompt, and the opening module 508 is further configured to open the sleep mode of the smart mattress when the user falls asleep when the smart mattress does not receive a cancel notification sent by the smart phone, where the cancel notification is used to indicate that the sleep mode recommended by the smart mattress is cancelled. Or,
the second pushing module 512 is configured to push the sleep mode recommended by the recommending module 506 to the smart television if it is detected that the user is at home and the smart television at home is turned on, where the sleep mode is used to trigger the smart television to display the sleep mode.
In another possible embodiment, still referring to fig. 5, the sleep mode activation device may further include: a second determination module 514, a third determination module 516, a fourth determination module 518, or a fifth determination module 520.
A second determination module 514 configured to determine whether the user has fallen asleep through an image captured by a smart camera installed in the home; or,
a third determining module 516, configured to determine whether the user has fallen asleep through a physiological characteristic parameter acquired by the wearable device worn by the user, where the physiological characteristic parameter is a heart rate, a blood pressure, or a body temperature; or,
a fourth determining module 518, configured to obtain the off state of the smart light, the smart door and window, and/or the entertainment device in the home, and determine whether the user has fallen asleep, wherein the entertainment device includes a smart tv, a sound box, or a desktop computer; or,
and a fifth determining module 520 configured to acquire the physiological characteristic parameters of the user collected by the smart mattress and determine whether the user has fallen asleep.
In summary, the sleep mode activation apparatus provided in the embodiment of the present disclosure invokes a recent medical record of a user at home from a cloud server by determining the user at home, recommends a sleep mode for the user according to the recent medical record, and activates the sleep mode when the user falls asleep; because a proper sleep mode is recommended for the user according to the medical cases of the user at home, the problem that the intelligent massage mattress cannot fully play a health care role because the sleep mode of the intelligent massage mattress in the related technology is manually selected by the user and the user forgets to select the sleep mode is solved; the intelligent mattress has the advantages that the appropriate sleep mode can be automatically selected for the user, and the intelligent mattress can fully play a health-care role.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
An exemplary embodiment of the present disclosure provides a sleep mode activation device, which is applied to an intelligent mattress and can implement the sleep mode activation method provided by the present disclosure, and the sleep mode activation device includes: a processor, a memory for storing processor-executable instructions;
wherein the processor is configured to:
determining a user at home;
calling a recent case of visit of the user from a cloud server, wherein the recent case of visit is a case of visit within a preset time period before the calling moment or a case of visit of the user obtained by the cloud server last;
recommending a sleep mode for the user according to the recent medical cases;
and when the user falls asleep, starting the sleep mode of the intelligent mattress.
Fig. 6 is a block diagram illustrating a structure of a sleep mode activation apparatus according to still another exemplary embodiment. For example, the apparatus 600 may be provided as a smart mattress. Referring to fig. 6, the apparatus 600 includes a processing component 602 that further includes one or more processors and memory resources, represented by memory 604, for storing instructions, such as applications, that are executable by the processing component 602. The application programs stored in memory 604 may include one or more modules that each correspond to a set of instructions. Further, the processing component 602 is configured to execute instructions to perform the sleep mode activation method described above.
The device 600 may also include a power component 606 configured to perform power management of the device 600, a wired or wireless network interface 608 configured to connect the device 600 to a network, and an input output (I/O) interface 610 and a sensor component 612 configured to collect physiological characteristic parameters of the user to determine whether the user has fallen asleep. The apparatus 600 may operate based on an operating system stored in the memory 604, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, or the like.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (9)
1. A sleep mode starting method is applied to an intelligent mattress and comprises the following steps:
determining a user at home;
calling a recent case of visit of the user from a cloud server, wherein the recent case of visit is a case of visit within a preset time period before the calling moment or a case of visit of the user obtained by the cloud server last;
judging the state of illness of the user according to the recent visit case;
when the illness state is a cold, recommending a high-temperature mode for the user, wherein the intelligent mattress in the high-temperature mode keeps the provided temperature at a preset high temperature during working;
when the disease condition is a spondylopathy, recommending a spondylopathy treatment mode for the user, adjusting the height of a pillow on an intelligent mattress in the spondylopathy treatment mode according to the height of the pillow suggested in the recent case, and adjusting the hardness distribution of the intelligent mattress according to the hardness suggested in the recent case;
and when the user falls asleep, starting the sleep mode of the intelligent mattress.
2. The method of claim 1, wherein determining the user at home comprises:
the method comprises the steps that intelligent equipment connected with a router is obtained from the router in the home, and a user holding the intelligent equipment is determined, wherein the intelligent equipment comprises at least one of a smart phone, a tablet computer and a wearable device; or,
acquiring positioning data obtained after a positioning system in the intelligent equipment positions the intelligent equipment, and determining a user expected to go home on the current day according to the positioning data obtained by the positioning of the intelligent equipment; or,
and acquiring the online records of the users, and determining the users staying on the day, wherein the online records are calendars, chat records or mails.
3. The method of claim 1, further comprising:
pushing the sleep mode to a smart phone of the user, wherein the sleep mode is used for triggering the smart phone to prompt, if the smart mattress does not receive a cancellation notice sent by the smart phone, the step of starting the sleep mode of the smart mattress when the user falls asleep is executed, and the cancellation notice is used for indicating that the sleep mode recommended by the smart mattress is cancelled; or,
if the situation that the user is at home and the smart television at home is started is monitored, pushing the sleep mode to the smart television, wherein the sleep mode is used for triggering the smart television to display the sleep mode.
4. The method according to any one of claims 1 to 3, further comprising:
determining whether the user falls asleep or not through an image acquired by an intelligent camera installed in a home; or,
determining whether the user falls asleep or not through physiological characteristic parameters acquired by wearable equipment worn by the user, wherein the physiological characteristic parameters are heart rate, blood pressure or body temperature; or,
the method comprises the steps of obtaining the closing state of an intelligent lamp, an intelligent door and window and/or entertainment equipment in a home, and determining whether a user falls asleep, wherein the entertainment equipment comprises an intelligent television, a sound box or a desktop computer; or,
and acquiring the physiological characteristic parameters of the user acquired by the intelligent mattress, and determining whether the user falls asleep.
5. A sleep mode opening device is characterized in that the device is applied to an intelligent mattress and comprises:
a first determination module configured to determine a user at home;
a calling module configured to call the recent medical record of the user determined by the first determining module from a cloud server, where the recent medical record is a medical record within a predetermined time period before a calling time or a medical record of the user acquired last by the cloud server;
a recommendation module configured to determine a medical condition of the user based on the recent medical findings; when the illness state is a cold, recommending a high-temperature mode for the user, wherein the intelligent mattress in the high-temperature mode keeps the provided temperature at a preset high temperature during working; when the disease condition is a spondylopathy, recommending a spondylopathy treatment mode for the user, adjusting the height of a pillow on an intelligent mattress in the spondylopathy treatment mode according to the height of the pillow suggested in the recent case, and adjusting the hardness distribution of the intelligent mattress according to the hardness suggested in the recent case;
the starting module is configured to start the sleep mode of the intelligent mattress when the user falls asleep according to the sleep mode recommended by the recommending module.
6. The apparatus of claim 5, wherein the first determining module comprises:
the first determining sub-module is configured to acquire a smart device connected with a router from the router in a home, and determine a user holding the smart device, wherein the smart device comprises at least one of a smart phone, a tablet computer and a wearable device; or,
the second determining submodule is configured to obtain positioning data obtained after the positioning system in the intelligent device positions the intelligent device, and determine a user expected to go home on the current day according to the positioning data obtained by the positioning of the intelligent device; or,
and the third determining submodule is configured to acquire an online record of the user and determine the user staying on the day, wherein the online record is a calendar, a chat record or a mail.
7. The apparatus of claim 5, further comprising:
the first pushing module is configured to push the sleep mode recommended by the recommending module to a smart phone of the user, the sleep mode is used for triggering the smart phone to prompt, the opening module is further configured to open the sleep mode of the smart mattress when the user falls asleep when the smart mattress does not receive a cancellation notice sent by the smart phone, and the cancellation notice is used for indicating that the sleep mode recommended by the smart mattress is cancelled; or,
the second pushing module is configured to push the sleep mode recommended by the recommending module to the smart television if the situation that the user is at home and the smart television at home is started is monitored, and the sleep mode is used for triggering the smart television to display the sleep mode.
8. The apparatus of any of claims 5 to 7, further comprising:
the second determination module is configured to determine whether the user falls asleep or not through images acquired by an intelligent camera installed in a home; or,
a third determining module configured to determine whether the user has fallen asleep through a physiological characteristic parameter acquired by a wearable device worn by the user, the physiological characteristic parameter being a heart rate, a blood pressure, or a body temperature; or,
the fourth determination module is configured to acquire the closing state of an in-home intelligent lamp, an intelligent door and window and/or entertainment equipment and determine whether the user falls asleep, wherein the entertainment equipment comprises an intelligent television, a sound box or a desktop computer; or,
a fifth determination module configured to acquire the physiological characteristic parameters of the user collected by the smart mattress and determine whether the user has fallen asleep.
9. A sleep mode opening device is characterized in that the device is applied to an intelligent mattress and comprises:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to:
determining a user at home;
calling a recent case of visit of the user from a cloud server, wherein the recent case of visit is a case of visit within a preset time period before the calling moment or a case of visit of the user obtained by the cloud server last;
judging the state of illness of the user according to the recent visit case;
when the illness state is a cold, recommending a high-temperature mode for the user, wherein the intelligent mattress in the high-temperature mode keeps the provided temperature at a preset high temperature during working;
when the disease condition is a spondylopathy, recommending a spondylopathy treatment mode for the user, adjusting the height of a pillow on an intelligent mattress in the spondylopathy treatment mode according to the height of the pillow suggested in the recent case, and adjusting the hardness distribution of the intelligent mattress according to the hardness suggested in the recent case;
and when the user falls asleep, starting the sleep mode of the intelligent mattress.
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| CN106375164A (en) * | 2016-08-29 | 2017-02-01 | 北京小米移动软件有限公司 | Method and device for transmitting control command |
| WO2018187920A1 (en) * | 2017-04-10 | 2018-10-18 | 格兰比圣（深圳）科技有限公司 | Temperature control method and device for mattress |
| CN109814398B (en) * | 2019-01-16 | 2021-03-23 | 珠海格力电器股份有限公司 | Intelligent bed sleep adjusting method and system and intelligent bed |
| CN113589725B (en) * | 2021-07-28 | 2023-01-20 | 刘宗明 | Universal control system of human body bearing device |
| CN114255848B (en) * | 2021-12-16 | 2024-06-07 | 珠海格力电器股份有限公司 | Gesture adjustment method, device, equipment and storage medium |
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