CN110916434B - Self-adjusting method, device and equipment of intelligent mattress - Google Patents
Self-adjusting method, device and equipment of intelligent mattress Download PDFInfo
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- CN110916434B CN110916434B CN201911008557.9A CN201911008557A CN110916434B CN 110916434 B CN110916434 B CN 110916434B CN 201911008557 A CN201911008557 A CN 201911008557A CN 110916434 B CN110916434 B CN 110916434B
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- A47C—CHAIRS; SOFAS; BEDS
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Abstract
The application relates to the technical field of intelligent home, in particular to a self-adjusting method, device and equipment of an intelligent mattress. The method comprises the following steps: adjusting parameters of the intelligent mattress by at least M times according to sleep sign data of a user; wherein each round of adjustment of the intelligent mattress comprises the following steps: adjusting the parameters of the intelligent mattress for N times on the basis of the parameter set values; acquiring sleep sign data of a user after adjusting parameters of the intelligent mattress each time; determining first sleep sign data used for representing the optimal sleep state of a user from the acquired sleep sign data of the user, adjusting the intelligent mattress according to the intelligent mattress parameters corresponding to the first sleep sign data, and determining the intelligent mattress parameters corresponding to the first sleep sign data as the parameter set values. According to the scheme, the mattress parameters can be adaptively adjusted according to the sleep sign data of the user in the sleep process of the user.
Description
Technical Field
The application relates to the technical field of intelligent home, in particular to a self-adjusting method, device and equipment of an intelligent mattress.
Background
As the pressure of people on work and life is getting bigger, a great number of people are troubled by the sleeping problems of insomnia, difficult sleep and the like. In order to improve the sleep quality, a plurality of sleep-aiding products are operated, wherein the intelligent mattress is an intelligent household product which can enhance the sleep comfort of a user by adjusting product parameters.
Most of the intelligent mattresses in the prior art can customize a plurality of sleep modes, and each sleep mode corresponds to set mattress parameters. The user selects a sleep mode before sleeping, and the intelligent mattress is adjusted according to the sleep mode selected by the user.
A plurality of sleep modes are customized in the intelligent mattress, and the mode of adjusting mattress parameters according to the selection of the sleep modes enhances the sleep comfort of a user and has certain limitations, such as limited selectable sleep modes of the intelligent mattress, mismatching of the sleep mode selected by the user and actual requirements and the like.
Disclosure of Invention
The application provides a self-adjustment method, a self-adjustment device and self-adjustment equipment of an intelligent mattress, so that parameters of the mattress can be adjusted in a self-adaptive mode according to sleep sign data of a user in the sleeping process of the user, and the sleeping comfort of the user is further enhanced.
In a first aspect, an embodiment of the present invention provides a self-adjustment method for an intelligent mattress, including:
adjusting parameters of the intelligent mattress at least M times according to sleep sign data of a user, wherein M is a positive integer larger than 1; wherein each round of adjustment of the intelligent mattress comprises the following steps:
adjusting parameters of the intelligent mattress for N times on the basis of the parameter set value, wherein N is a positive integer greater than 1;
acquiring sleep sign data of a user after adjusting parameters of the intelligent mattress each time;
determining first sleep sign data used for representing the optimal sleep state of a user from the acquired sleep sign data of the user, adjusting the intelligent mattress according to the intelligent mattress parameters corresponding to the first sleep sign data, and determining the intelligent mattress parameters corresponding to the first sleep sign data as the parameter set values.
Optionally, the value M is a preset value; alternatively, the first and second electrodes may be,
determining the M value comprises: and judging whether the difference value between the intelligent mattress parameter corresponding to the first sleep characteristic data and the parameter set value of the current round adjustment start is smaller than a set threshold value or not in the current round adjustment of the intelligent mattress, and if so, determining to stop the next round of adjustment of the intelligent mattress.
Optionally, adjusting the parameters of the intelligent mattress comprises: adjustments are made to the parameters of the mattress and to the parameters of the mattress accessories.
Optionally, the parameter of the intelligent mattress is adjusted for N times on the basis of the parameter setting value, including:
adjusting parameters of the intelligent mattress for N times according to a preset step length on the basis of the parameter set value; alternatively, the first and second electrodes may be,
and randomly selecting N times of parameters within the parameter adjustment range containing the parameter set value to adjust the parameters of the intelligent mattress.
Optionally, the sleep sign data includes: user heart rate and breathing rate.
In a second aspect, an embodiment of the present invention provides a self-adjusting device for an intelligent mattress, including: parameter adjustment module, parameter acquisition module and confirm the module, wherein:
the parameter adjusting module is used for adjusting parameters of the intelligent mattress at least in M rounds according to the sleep sign data of the user, wherein M is a positive integer larger than 1; wherein each round of adjustment of the intelligent mattress by the parameter adjustment module comprises the following steps:
adjusting parameters of the intelligent mattress for N times on the basis of the parameter set value, wherein N is a positive integer greater than 1;
after the parameters of the intelligent mattress are adjusted each time, the sleep sign data of a user are collected through the parameter collection module;
determining first sleep sign data used for representing the optimal sleep state of a user from the acquired sleep sign data of the user through the determination module, and determining the intelligent mattress parameter corresponding to the first sleep sign data as the parameter set value through the determination module;
and adjusting the intelligent mattress according to the intelligent mattress parameters corresponding to the first sleep sign data.
Optionally, the value M is a preset value; alternatively, the first and second electrodes may be,
the determining module determines the M value includes: and judging whether the difference value between the intelligent mattress parameter corresponding to the first sleep characteristic data and the parameter set value of the current round adjustment start is smaller than a set threshold value or not in the current round adjustment of the intelligent mattress, and if so, determining to stop the next round of adjustment of the intelligent mattress.
Optionally, the adjusting the parameters of the intelligent mattress by the parameter adjusting module specifically includes: adjustments are made to the parameters of the mattress and to the parameters of the mattress accessories.
Optionally, the parameter adjusting module adjusts parameters of the intelligent mattress N times on the basis of the parameter setting value, and specifically includes:
adjusting parameters of the intelligent mattress for N times according to a preset step length on the basis of the parameter set value; alternatively, the first and second electrodes may be,
and randomly selecting N times of parameters within the parameter adjustment range containing the parameter set value to adjust the parameters of the intelligent mattress.
In a third aspect, an embodiment of the present invention provides a self-adjusting device for an intelligent mattress, including: the sleep sign acquisition unit is used for acquiring sleep sign data of a user and the self-adjusting processing component; the self-adjustment processing component includes: a memory and a processor, wherein:
the memory is used for storing one or more computer instructions which when executed by the processor implement the self-adjusting method of the intelligent mattress.
Compared with the prior art, the technical scheme provided by the embodiment of the application has the following advantages:
according to the method and the device, at least M-round adjustment is carried out on the intelligent mattress according to sleep sign data of a user in the sleep process of the user, wherein N-time adjustment is carried out on the basis of parameter set values in each round of adjustment process, the intelligent mattress parameters most suitable for the sleep of the user are determined according to the sleep sign data of the user collected after the N-time adjustment, and the optimal values of the intelligent mattress parameters determined by the current round are used as initial values, namely the parameter set values, so that the effect of self-adaptive adjustment of the mattress parameters according to the sleep state of the user is achieved, and the comfort degree of the sleep of the user is enhanced.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a flowchart illustrating each round of adjustment of parameters of an intelligent mattress in a self-adjustment method of the intelligent mattress according to an embodiment of the present invention;
fig. 2 is a flowchart of a self-adjustment method of an intelligent mattress according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a self-adjusting device of an intelligent mattress according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a self-adjustment processing component in the intelligent mattress self-adjustment device according to the embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all 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 application.
In order to overcome the problems that the adjustment of the intelligent mattress in the prior art is limited by several customized sleep modes and the sleep mode selected by a user may not be matched with the actual sleep requirement, the application provides a self-adjusting method of the intelligent mattress. The method adopts the ant colony and bee colony algorithm principle, and the application of the ant colony and bee colony algorithm in the application is as follows: in order to meet the comfort level of a user in the sleeping process, the parameters of the intelligent mattress are adjusted in multiple rounds, the optimal adjustment parameters of the current round are determined in each round of adjustment, and the optimal parameters are simultaneously used as initial values of the next round of adjustment, so that the parameters of the mattress are adjusted in a self-adaptive manner according to the sleeping state of the user, and the sleeping comfort level of the user is enhanced.
In the self-adjusting method of the intelligent mattress provided by the embodiment of the invention, at least M times of adjustment are carried out on the parameters of the intelligent mattress according to the sleep sign data of the user in the sleeping process of the user, wherein M is a positive integer greater than 1. Fig. 1 is a flowchart of each round of adjustment of parameters of an intelligent mattress in a self-adjustment method of the intelligent mattress according to an embodiment of the present invention. As shown in fig. 1, each turn of adjustment to the smart mattress comprises the following steps:
step S101: the parameters of the intelligent mattress are adjusted for N times on the basis of the parameter set values, wherein N is a positive integer greater than 1.
After the intelligent mattress is initialized and enters self-adaptive adjustment, the parameter setting value is a set initial value, and the intelligent mattress adjusts the parameters of the intelligent mattress for N times in the current round of adjustment on the basis of the initial value;
when the intelligent mattress is adjusted for the second round or more, the parameter setting value is the optimal value of the intelligent mattress parameter suitable for the sleep of the user determined in the previous round.
In an embodiment of the present application, adjusting parameters of the smart mattress includes adjusting parameters of the mattress and parameters of accessory components of the mattress. The mattress accessories may include pillows, mattresses, and the like, among others.
Step S102: and acquiring sleep sign data of the user after adjusting the parameters of the intelligent mattress every time.
In the current round of adjustment of intelligent mattress parameters, the sleep sign data of the user are collected after the parameters of the intelligent mattress are adjusted each time. Optionally, the sleep sign data may be a heart rate and a respiratory rate of the user.
Step S103: determining first sleep sign data used for representing the optimal sleep state of a user from the acquired sleep sign data of the user, adjusting the intelligent mattress according to the intelligent mattress parameters corresponding to the first sleep sign data, and determining the intelligent mattress parameters corresponding to the first sleep sign data as the parameter set values.
In the current round of adjustment, after the intelligent mattress is adjusted to the intelligent mattress parameters corresponding to the first sleep sign data according to the first sleep sign data, the state can be maintained for a period of time, and the intelligent mattress enters the next round of adjustment after the preset time is reached; or after the intelligent mattress is adjusted to the intelligent parameters corresponding to the first sleep sign data, the intelligent mattress maintains the parameter setting, collects the sleep sign data of the user in the parameter maintaining process, and enters the next round of adjustment when the sleep sign data of the user does not meet the setting requirements.
In the embodiment of the invention, M-round adjustment is carried out on the parameters of the intelligent mattress, and the M value can be a preset value and can also be determined by a user according to the sleeping state of the user in the self-adjustment process of the mattress. An alternative way of determining the value of M comprises: and judging whether the difference value between the intelligent mattress parameter corresponding to the first sleep characteristic data and the parameter set value of the current round adjustment start is smaller than a set threshold value or not in the current round adjustment of the intelligent mattress, and if so, determining to stop the next round of adjustment of the intelligent mattress.
When the intelligent mattress enters the next round of adjustment, the intelligent mattress parameters corresponding to the first sleep sign data which are determined in the current round and used for representing the optimal sleep state of the user are used as parameter setting values of the next round of adjustment, namely as starting values of the next round of adjustment on the mattress parameters for N times.
In the embodiment of the invention, the N times of adjustment of the parameters of the intelligent mattress are carried out on the basis of the parameter set values, which comprises the following steps: adjusting parameters of the intelligent mattress for N times according to a preset step length on the basis of the parameter set value; or randomly selecting N times of parameters within a parameter adjusting range containing parameter set values to adjust the parameters of the intelligent mattress.
Therefore, the intelligent mattress can be adaptively adjusted according to the sleep state of the user, and the effect of enhancing the sleep comfort degree of the user is achieved.
Fig. 2 is a flowchart of a self-adjustment method of an intelligent mattress according to a second embodiment of the present invention.
As shown in fig. 2, the method includes:
step S201: when the self-adjustment of the mattress is started, the parameters of the mattress and the parameters of the auxiliary components of the mattress are adjusted to the parameter set values, and the parameter set values of the parameters of the mattress and the auxiliary components of the mattress are initial values when the self-adjustment of the mattress is started.
Step S202: and adjusting parameters of the mattress and parameters of auxiliary components of the mattress for N times on the basis of the parameter set values, wherein N is a positive integer greater than 1.
Wherein, carry out N times regulation to mattress parameter and mattress accessory part parameter on parameter setting's basis, include: adjusting for N times according to the preset step length mattress parameters and the parameters of the auxiliary components of the mattress on the basis of the parameter set values; or randomly selecting N times of parameters within a parameter adjusting range containing parameter set values to adjust the parameters of the mattress and the parameters of the auxiliary components of the mattress.
Step S203: after the parameters of the mattress and the parameters of the auxiliary components of the mattress are adjusted each time, the sleep sign data of the user, such as the heart rate, the respiratory rate and other data of the user, are acquired.
Step S204: and comparing the sleep sign data of the user acquired for N times, and determining first sleep sign data for indicating the optimal sleep state of the user according to the comparison result.
When the sleep sign data of the user comprise the heart rate and the respiratory rate of the user, selecting the data with the lowest heart rate and respiratory rate from the data acquired for N times as first sleep sign data according to the rule that the lower the heart rate and the respiratory rate of the user indicate the better the sleep state of the user.
Step S205: and adjusting the parameters of the mattress and the parameters of the auxiliary components of the mattress to the parameters of the mattress and the parameters of the auxiliary components of the mattress corresponding to the first sleep sign data.
Step S206: and judging whether the difference value between the parameters of the mattress and the auxiliary components corresponding to the first sleep sign data and the parameter set value in the step S202 is smaller than a set threshold value.
Step S207: if the difference calculated in step S206 is less than the set threshold, the adjustment of the mattress parameters and mattress accessory component parameters is stopped.
Step S208: and if the difference calculated in the step S206 is greater than or equal to the set threshold, setting the mattress parameters and the mattress accessory component parameters corresponding to the first sleep sign data as parameter set values, and skipping to the step S202. After setting the mattress parameters and the mattress accessory component parameters corresponding to the first sleep sign data to the parameter setting values, the mattress parameters and the mattress accessory component parameters may be kept for a period of time before jumping to step S202, or the mattress parameters and the mattress accessory component parameters may jump to step S202 when it is detected that the sleep sign data of the user does not meet the setting requirements.
In correspondence to the above-mentioned self-adjustment method of the intelligent mattress, the intelligent mattress self-adjustment apparatus according to one or more embodiments of the present invention will be described in detail below. Those skilled in the art will appreciate that these means can each be constructed using commercially available hardware components and by performing the steps taught in this disclosure.
Fig. 3 is a schematic structural diagram of a self-adjusting device of an intelligent mattress according to an embodiment of the present invention, and the functional structure of the self-adjusting device includes: parameter adjustment module 11, parameter acquisition module 12 and confirm module 13, wherein:
the parameter adjusting module 11 is configured to perform at least M rounds of adjustment on parameters of the intelligent mattress according to sleep sign data of a user, where M is a positive integer greater than 1; wherein, the parameter adjusting module 11 comprises the following steps for each round of adjustment of the intelligent mattress:
adjusting parameters of the intelligent mattress for N times on the basis of the parameter set value, wherein N is a positive integer greater than 1;
after the parameters of the intelligent mattress are adjusted each time, the sleep sign data of the user are collected through the parameter collecting module 12;
determining, by the determining module 13, first sleep sign data used for indicating that a sleep state of a user is optimal from the acquired sleep sign data of the user, and determining, by the determining module 13, an intelligent mattress parameter corresponding to the first sleep sign data as the parameter set value;
and adjusting the intelligent mattress according to the intelligent mattress parameters corresponding to the first sleep sign data.
In one possible design, the value of M is a predetermined value; alternatively, the first and second electrodes may be,
the determining module 13 determines the M value includes: and judging whether the difference value between the intelligent mattress parameter corresponding to the first sleep characteristic data and the parameter set value of the current round adjustment start is smaller than a set threshold value or not in the current round adjustment of the intelligent mattress, and if so, determining to stop the next round of adjustment of the intelligent mattress.
In a possible design, the adjusting the parameters of the smart mattress by the parameter adjusting module 11 specifically includes: adjustments are made to the parameters of the mattress and to the parameters of the mattress accessories.
In a possible design, the parameter adjusting module 11 adjusts the parameters of the smart mattress N times on the basis of the parameter setting values, and specifically includes:
adjusting parameters of the intelligent mattress for N times according to a preset step length on the basis of the parameter set value; alternatively, the first and second electrodes may be,
and randomly selecting N times of parameters within the parameter adjustment range containing the parameter set value to adjust the parameters of the intelligent mattress.
The device shown in fig. 3 can perform the self-adjustment method of the intelligent mattress according to the first embodiment and the second embodiment, and the parts not described in detail in this embodiment can refer to the related descriptions of the first embodiment and the second embodiment. The implementation process and technical effect of the technical solution refer to the description of the first embodiment and the second embodiment, and are not described herein again.
Fig. 3 illustrates the internal functions and structures of a self-adjusting device of a smart mattress, and in one possible design, the structures of the self-adjusting device of the smart mattress shown in fig. 3 can be implemented as a self-adjusting device of the smart mattress, which comprises from the viewpoint of hardware electronics: the sleep sign acquisition unit is used for acquiring sleep sign data of a user and the self-adjusting processing component. As shown in fig. 4, the self-adjustment processing component in the apparatus may include: a processor 21 and a memory 22. Wherein the memory 22 is used for storing a program for supporting the apparatus to execute the self-adjustment method of the intelligent mattress in the first and second embodiments, and the processor 21 is configured to execute the program stored in the memory 22 to realize the self-adjustment method of the intelligent mattress. The self-adjusting device may further include a communication interface 23 for communicating with other devices, such as a sensor in an intelligent mattress or a terminal device of a user. Further, the self-adjusting device of the intelligent mattress of the embodiment of the invention further comprises a mattress adjusting component arranged in the intelligent mattress, wherein the mattress adjusting component arranged in the intelligent mattress is used for acquiring and adjusting the parameters of the intelligent mattress to achieve the effect of adjusting the intelligent mattress.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable file access device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable file access device, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (6)
1. A self-adjusting method of an intelligent mattress is characterized by comprising the following steps:
according to the sleep sign data of the user, determining first sleep sign data used for representing the optimal sleep state of the user from the acquired sleep sign data of the user,
adjusting parameters of the intelligent mattress by at least M rounds, wherein M is a positive integer larger than 1;
the presetting of the M value or the determination of the M value comprises the following steps: judging whether the difference value between the intelligent mattress parameter corresponding to the first sleep characteristic data and the parameter set value of the current round adjustment start is smaller than a set threshold value or not in the current round adjustment of the intelligent mattress, and if the difference value is smaller than the set threshold value, determining to stop the next round adjustment of the intelligent mattress;
wherein each round of adjustment of the intelligent mattress comprises the following steps:
adjusting parameters of the intelligent mattress for N times on the basis of the parameter set value, wherein N is a positive integer greater than 1; the method comprises the following steps:
adjusting parameters of the intelligent mattress for N times according to a preset step length on the basis of the parameter set value; alternatively, the first and second electrodes may be,
randomly selecting N times of parameters within a parameter adjustment range containing parameter set values to adjust the parameters of the intelligent mattress;
acquiring sleep sign data of a user after adjusting parameters of the intelligent mattress each time;
and adjusting the intelligent mattress according to the intelligent mattress parameters corresponding to the first sleep sign data, and determining the intelligent mattress parameters corresponding to the first sleep sign data as the parameter set values.
2. The method of claim 1, wherein adjusting the parameters of the smart mattress comprises: adjustments are made to the parameters of the mattress and to the parameters of the mattress accessories.
3. The method of claim 1, wherein the sleep sign data comprises: user heart rate and breathing rate.
4. A self-adjusting device for an intelligent mattress, comprising: parameter adjustment module, parameter acquisition module and confirm the module, wherein: determining first sleep sign data for representing the best sleep state of the user from the acquired sleep sign data of the user through the determination module,
the parameter adjusting module is used for adjusting parameters of the intelligent mattress at least in M rounds according to the sleep sign data of the user, wherein M is a positive integer larger than 1; the M value is preset or determined by the determination module, and determining the M value comprises: judging whether the difference value between the intelligent mattress parameter corresponding to the first sleep characteristic data and the parameter set value of the current round adjustment start is smaller than a set threshold value or not in the current round adjustment of the intelligent mattress, and if the difference value is smaller than the set threshold value, determining to stop the next round adjustment of the intelligent mattress;
wherein each round of adjustment of the intelligent mattress by the parameter adjustment module comprises the following steps:
adjusting parameters of the intelligent mattress for N times on the basis of the parameter set value, wherein N is a positive integer greater than 1; the method comprises the following steps:
adjusting parameters of the intelligent mattress for N times according to a preset step length on the basis of the parameter set value; alternatively, the first and second electrodes may be,
randomly selecting N times of parameters within a parameter adjustment range containing parameter set values to adjust the parameters of the intelligent mattress;
after the parameters of the intelligent mattress are adjusted each time, the sleep sign data of a user are collected through the parameter collection module;
determining the intelligent mattress parameter corresponding to the first sleep sign data as the parameter set value through the determination module;
and adjusting the intelligent mattress according to the intelligent mattress parameters corresponding to the first sleep sign data.
5. The apparatus according to claim 4, wherein the parameter adjusting module adjusts the parameters of the smart mattress specifically includes: adjustments are made to the parameters of the mattress and to the parameters of the mattress accessories.
6. A self-adjusting apparatus for an intelligent mattress, comprising: the sleep sign acquisition unit is used for acquiring sleep sign data of a user and the self-adjusting processing component; the self-adjustment processing component includes: a memory and a processor, wherein:
the memory for storing one or more computer instructions which, when executed by the processor, implement a method of self-adjusting a smart mattress according to any one of claims 1 to 3.
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| US8617873B2 (en) * | 2008-08-08 | 2013-12-31 | Neal Solomon | Intelligent medical device system for personalized medicine applications |
| CN105231717A (en) * | 2015-11-02 | 2016-01-13 | 上海斐讯数据通信技术有限公司 | Mattress capable of intelligently adjusting hardness |
| CN107276863A (en) * | 2017-07-18 | 2017-10-20 | 东莞市慕思寝室用品有限公司 | Intelligent bed pad control method and intelligent mattress |
| CN110338765B (en) * | 2019-07-18 | 2020-10-20 | 中原工学院 | Child sleep monitoring system and method based on lightGBM and bee colony algorithm |
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