CN114869104A - Intelligent mattress adjusting method, device, equipment, mattress, medium and product - Google Patents
Intelligent mattress adjusting method, device, equipment, mattress, medium and product Download PDFInfo
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C27/00—Spring, stuffed or fluid mattresses or cushions specially adapted for chairs, beds or sofas
- A47C27/08—Fluid mattresses or cushions
- A47C27/081—Fluid mattresses or cushions of pneumatic type
- A47C27/083—Fluid mattresses or cushions of pneumatic type with pressure control, e.g. with pressure sensors
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C27/00—Spring, stuffed or fluid mattresses or cushions specially adapted for chairs, beds or sofas
- A47C27/08—Fluid mattresses or cushions
- A47C27/081—Fluid mattresses or cushions of pneumatic type
- A47C27/082—Fluid mattresses or cushions of pneumatic type with non-manual inflation, e.g. with electric pumps
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C27/00—Spring, stuffed or fluid mattresses or cushions specially adapted for chairs, beds or sofas
- A47C27/08—Fluid mattresses or cushions
- A47C27/081—Fluid mattresses or cushions of pneumatic type
- A47C27/084—Fluid mattresses or cushions of pneumatic type self inflating
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C27/00—Spring, stuffed or fluid mattresses or cushions specially adapted for chairs, beds or sofas
- A47C27/08—Fluid mattresses or cushions
- A47C27/10—Fluid mattresses or cushions with two or more independently-fillable chambers
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention discloses an adjusting method, an adjusting device, adjusting equipment, a mattress, a medium and a product of an intelligent mattress. The method comprises the following steps: the method comprises the steps that a pressure baseline of each air bag in the single-side intelligent mattress is obtained in real time, one pressure baseline is a broken line formed by a plurality of pressure reference values of one air bag, the plurality of pressure reference values are determined by a plurality of pressure values obtained through real-time acquisition, each air bag is installed at different positions of the single-side intelligent mattress, and the different positions correspond to different body parts of a user; respectively determining the body motion grades of different body parts of the user based on all fluctuation pressure values in a fluctuation area in each pressure baseline; and determining the adjustment target value of each air bag according to the body movement grades of different body parts of the user and the corresponding pressure reference value before body movement. The method can acquire the adjustment target value in real time, greatly improve the accuracy of adjustment and effectively improve the comfort and satisfaction of user experience.
Description
Technical Field
The embodiment of the invention relates to the technical field of living homes, in particular to a method, a device, equipment, a mattress, a medium and a product for adjusting an intelligent mattress.
Background
With the development of the times, the living standard of people is continuously improved, the living quality is also continuously improved, and the requirements for household articles are also continuously improved. As an important household article, the intelligent mattress receives wide attention.
Most of the existing intelligent mattresses can be intelligently adjusted according to the movement of people, so that users can have better sleeping experience. In the prior art, an intelligent mattress needs to judge the state of a user getting out of bed, namely the state of the user getting in bed or getting out of bed, and then intelligently adjusts the mattress according to the state of the user getting out of bed, and the adjustment principle is that intelligent adjustment is carried out according to the air pressure level before body movement and the air pressure level after body movement. This solution has the drawback of a low adjustment accuracy.
Disclosure of Invention
The inventor finds that the prior art scheme has the following defects: in the prior art, misjudgment is easily caused when a user is judged to be in a bed leaving state, and the result of the misjudgment causes the failure of the adjustment of the intelligent mattress; the scheme of prior art only adjusts intelligent mattress according to atmospheric pressure level before the body moves and atmospheric pressure level after the body moves, can lead to the rate of accuracy of regulation lower, influences intelligent mattress's travelling comfort regulation effect greatly, gives the not good sleep experience of user.
The invention provides an adjusting method, an adjusting device, a mattress, a medium and a product of an intelligent mattress, and aims to solve the defects that the intelligent mattress can be adjusted only when a user is in a bed in the prior art and the problem that the adjusting accuracy rate is low in the prior art.
According to an aspect of the present invention, there is provided an adjustment method of an intelligent mattress, including:
the method comprises the steps that a pressure baseline of each air bag in the single-side intelligent mattress is obtained in real time, one pressure baseline is a broken line formed by a plurality of pressure reference values of one air bag, the plurality of pressure reference values are determined by a plurality of pressure values obtained through real-time acquisition, each air bag is installed at different positions of the single-side intelligent mattress, and the different positions correspond to different body parts of a user;
respectively determining the body motion grades of different body parts of the user based on all fluctuation pressure values in one fluctuation area in each pressure baseline;
and determining the adjustment target value of each air bag according to the body movement grades of different body parts of the user and the corresponding pressure reference value before body movement.
According to another aspect of the present invention, there is provided an adjustment device for a smart mattress, including:
the acquisition module is used for acquiring a pressure baseline of each air bag in the single-side intelligent mattress in real time, wherein one pressure baseline is a broken line formed by a plurality of pressure reference values of one air bag, the plurality of pressure reference values are determined by a plurality of pressure values acquired in real time, each air bag is installed at different positions of the single-side intelligent mattress, and the different positions correspond to different body parts of a user;
the first determination module is used for respectively determining the body motion grades of different body parts of the user based on all fluctuation pressure values in one fluctuation area in each pressure baseline;
and the second determining module is used for determining the adjusting target value of each air bag according to the body movement grades of different body parts of the user and the corresponding pressure reference value before body movement.
According to another aspect of the present invention, there is provided a smart mattress comprising: at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the method of conditioning a smart mattress according to any of the embodiments of the present invention.
According to another aspect of the invention, there is provided a smart mattress comprising an acquisition device and an electronic device according to any of the embodiments of the invention.
According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement the method of adjusting a smart mattress according to any one of the embodiments of the present invention when executed.
According to another aspect of the present invention, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the method of adjustment of a smart mattress according to any of the embodiments of the present invention.
According to the technical scheme of the embodiment of the invention, on one hand, the body movement grade of the user can be calculated in real time by acquiring the pressure baseline in real time, so that the intelligent mattress can be intelligently adjusted according to the body movement grade, the problem that the intelligent mattress is failed to be adjusted after the user is misjudged in the out-of-bed state in the prior art is solved, and the beneficial effect of reducing the adjustment failure probability is achieved; on the other hand, the body motion grade can be accurately calculated through all the fluctuation pressure values in one fluctuation area, intelligent adjustment is carried out according to the body motion grade, the problem that the adjustment accuracy rate is low in the prior art is solved, and the beneficial effect of improving the adjustment accuracy rate is achieved.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of an adjusting method of an intelligent mattress according to an embodiment of the present invention;
fig. 2 is a pressure value graph in an adjusting method of an intelligent mattress according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a pressure baseline for a bladder at various locations provided in accordance with an embodiment of the present invention;
fig. 4 is a schematic flow chart of an adjusting method of an intelligent mattress according to a second embodiment of the present invention;
fig. 5 is a schematic structural diagram of an adjusting device of an intelligent mattress according to a third embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device of an adjustment method of an intelligent mattress according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of an intelligent mattress according to a fifth embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. It should be understood that the various steps recited in the method embodiments of the present invention may be performed in a different order and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the invention is not limited in this respect.
The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It is noted that references to "a", "an", and "the" modifications in the present invention are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that reference to "one or more" unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present invention are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
Example one
Fig. 1 is a schematic flow chart of an adjusting method of an intelligent mattress according to an embodiment of the present invention, where the method is applicable to adjusting the intelligent mattress, and is particularly applicable to adjusting the intelligent mattress when a user is on the intelligent mattress. The method can be executed by a regulating device of the intelligent mattress, wherein the device can be realized by software and/or hardware and is generally integrated on electronic equipment, the electronic equipment is embedded in the intelligent mattress, and the intelligent mattress in the embodiment can be any type of intelligent mattress.
It should be noted that the intelligent mattress in the embodiment of the present invention is a double mattress, so that the two side mattresses can be separately adjusted, and the adjustment methods of the two side mattresses are the same, and the single-side intelligent mattress is taken as an example for description here. Optionally, the intelligent mattress can also be a single mattress, and the single mattress can also be adjusted by the adjusting method provided by the embodiment of the invention.
As shown in fig. 1, a method for adjusting an intelligent mattress according to a first embodiment of the present invention includes the following steps:
s110, acquiring a pressure baseline of each air bag in the single-side intelligent mattress in real time, wherein one pressure baseline is a broken line formed by a plurality of pressure reference values of one air bag, the plurality of pressure reference values are determined by a plurality of pressure values acquired in real time, each air bag is installed at different positions of the single-side intelligent mattress, and the different positions correspond to different body parts of a user.
Wherein, unilateral intelligence mattress inside can include a plurality of gasbags, and a plurality of gasbags are located different positions respectively, and different positions correspond user's different health parts, and is exemplary, and different health parts can include shoulder, waist, buttock and shank.
The pressure value of each air bag can be acquired simultaneously in real time, and the acquisition frequency can be set randomly, for example, once in 10 ms. One feasible mode is that the pressure values of the air bags are collected through a collecting device in the intelligent mattress, such as an air pressure sensor, the collected pressure values of different air bags are processed to obtain pressure reference values of different air bags, and a pressure baseline of each air bag can be obtained based on the pressure reference value of each air bag.
Fig. 2 is a pressure value graph in the adjustment method of the intelligent mattress according to the first embodiment of the present invention, and as shown in fig. 2, the pressure value collected in real time is unsmooth data deviating from an actual value, so that the pressure value needs to be processed, and a stable and effective pressure value is extracted as a pressure reference value. In fig. 2, the horizontal axis represents time in milliseconds, which means that 10ms is used to collect one data; the vertical axis represents the barometric pressure-to-voltage conversion value.
Further, each pressure reference value is determined in the following manner: acquiring a plurality of pressure values acquired within preset time; filtering the pressure values to obtain a plurality of smooth pressure values; and removing the extreme value from the plurality of smooth pressure values, and then averaging to obtain a pressure reference value within the preset time.
The preset time may be preset time, for example, the preset time may be 2s, and if the acquisition frequency is 10ms, 200 pressure values may be acquired in 2 s.
The filtering process may include median filtering, high-low filtering, and smooth filtering, among others.
In this embodiment, the maximum value and the minimum value of the plurality of smoothed pressure values obtained after filtering are removed, and then an average value of the remaining smoothed pressure values is calculated, so as to obtain a pressure reference value, which is a pressure reference value within a preset time.
Fig. 3 is a schematic diagram of pressure baselines of airbags at different positions provided by an embodiment of the invention, and fig. 3 comprises 2 pressure baselines, wherein one pressure baseline is the pressure baseline of the airbag at the waist position, and the other pressure baseline is the pressure baseline of the airbag at the shoulder position. In fig. 3, the horizontal axis represents time in milliseconds; the ordinate represents the barometric pressure-to-voltage conversion value.
And S120, respectively determining the body motion levels of different body parts of the user based on all the fluctuation pressure values in one fluctuation area in each pressure baseline.
In this embodiment, the body motion levels of different body parts of the user can be determined based on the pressure baselines of the air bags at different positions. For example, if one pressure baseline is the pressure baseline of the airbag at the waist position, the body movement level of the waist of the user can be determined according to all the fluctuating pressure values in the pressure baseline.
Because the pressure baseline is determined according to the pressure values acquired in real time, when fluctuation occurs in the pressure baseline, the body motion grade can be immediately calculated according to all fluctuation pressure values in the fluctuation area.
In this embodiment, taking one pressure baseline as an example, the calculation of the body motion level corresponding to one fluctuation region in the pressure baseline will be described. Specifically, the process of determining the body motion level of the corresponding body part based on a fluctuation region in a pressure baseline may be: determining the fluctuation starting time and the fluctuation ending time of a fluctuation area from the pressure baseline, calculating the fluctuation amplitude sum in the fluctuation area, and determining the body motion level of the body part corresponding to the user in the fluctuation duration according to the fluctuation duration, the fluctuation amplitude sum and the pressure reference value before the fluctuation starts.
Further, the determining the body motion levels of different body parts of the user based on all the fluctuating pressure values in one fluctuating area in each pressure baseline respectively includes: regarding one pressure baseline, taking the pressure baseline as a target pressure baseline, and determining the duration from the beginning to the end of the body movement and a pressure reference value before the beginning of the body movement on the target pressure baseline according to a target fluctuation region in the target pressure baseline; determining the sum of fluctuation amplitudes in the target fluctuation area; determining the body movement grade of the body part corresponding to the user in the duration according to the pressure reference value before the body movement, the duration and the fluctuation amplitude sum in the target fluctuation area;
wherein, the determination mode of the fluctuation amplitude sum in the target fluctuation area is as follows: calculating a difference value between each fluctuation pressure value in the target fluctuation area and a pressure reference value before the start of the body movement as a first difference value; and taking the sum of a plurality of first difference values as the sum of fluctuation amplitudes in the target fluctuation region.
In this embodiment, the manner of determining the duration from the start of the body motion to the end of the body motion on the target pressure baseline may be: and determining the duration corresponding to a target fluctuation area on the target pressure baseline, and taking the duration as the duration from the beginning of the body movement to the end of the body movement.
Further, determining the duration from the body motion starting time to the body motion ending on the target pressure baseline includes: taking the time corresponding to the fluctuation starting point of the target fluctuation area on the target pressure baseline as body motion starting time, and taking the time corresponding to the fluctuation ending point of the target fluctuation area on the target pressure baseline as body motion ending time; and taking the duration between the body motion starting time and the body motion ending time as the duration from the body motion starting to the body motion ending.
It is understood that the presence of a fluctuation region on the target pressure baseline is indicative of a body movement occurring at a certain body part of the user, and that the fluctuation region is indicative of the body movement.
Accordingly, the way of determining the pressure reference value before the start of the body movement on the target pressure baseline may be: the pressure reference value before the occurrence of the target fluctuation region on the target pressure baseline is taken as the pressure reference value before the start of body movement.
It should be noted that the fluctuation may include an upward fluctuation and a downward fluctuation, where the fluctuation pressure value is an actual value, and has no direction or sign, and the calculation of the first difference value is performed based on the actual value.
Further, the determining, according to the pressure reference value before the body movement, the duration and the sum of the fluctuation amplitudes in the target fluctuation area, the body movement level of the body part corresponding to the user in the duration includes: taking the difference between the pressure reference value before the body movement and the sum of the fluctuation amplitudes of the target pressure baseline as a second difference; determining a target range interval in which a combination formed by the second difference and the duration is located; and taking the body motion grade corresponding to the target range interval as the body motion grade of the body part corresponding to the user in the duration.
Illustratively, if the second difference value is 3000 and the sum of the fluctuation amplitudes in the target fluctuation region is 10000, it may be determined (3000,10000) which range section each has a corresponding body motion level, and if it is determined that the first range section is output, it may be determined that the body motion level is 1 level.
S130, determining the adjustment target value of each air bag according to the body movement grades of different body parts of the user and the corresponding pressure reference value before body movement.
In the embodiment, the adjustment target values of the air bags corresponding to different body parts of the user can be determined according to the body movement levels of the different body parts of the user and the pressure reference values before the body movements of the different body parts of the user start.
In this embodiment, any one of the airbags may be used as the target airbag, and the calculation process of the adjustment target value for each airbag is the same.
Specifically, the determining the adjustment target value of each airbag according to the body movement levels of different body parts of the user and the corresponding pressure reference value before body movement includes: determining, for a target airbag, a sum of a first calculation result, which is a product of a third power of a body motion level of a target body part and a first coefficient, a second calculation result, which is a product of a second power of the body motion level of the target body part and a second coefficient, and a third calculation result, which is a product of the body motion level of the target body part and a third coefficient, as a first result sum; determining a sum of a fourth calculation result and a fifth calculation result as a second result sum, wherein the fourth calculation result is a product of a fourth coefficient and a square of a pre-body-movement pressure reference value corresponding to the target airbag, and the fifth calculation result is a product of a pre-body-movement pressure reference value corresponding to the target airbag and a fifth coefficient; and taking the sum of the first result sum, the second result sum and a preset value as the adjustment target value of the target air bag.
The calculation formula corresponding to the calculation process may be:
out shouler ＝c1*g 3 +c2*g 2 +c3*g+c4*b 2 +c5*b+C
among them, out shouler Indicates an adjustment target value of the target airbag, C1 indicates a first coefficient, C2 indicates a second coefficient, C3 indicates a third coefficient, C4 indicates a fourth coefficient, C5 indicates a fifth coefficient, C indicates a preset numerical value, g indicates a body motion level of the target body part, and b indicates a pre-body-motion pressure reference value corresponding to the target airbag.
The method for adjusting the intelligent mattress provided by the embodiment of the invention comprises the steps of firstly, acquiring a pressure baseline of each air bag in the single-side intelligent mattress in real time, wherein one pressure baseline is a broken line formed by a plurality of pressure reference values of one air bag, the plurality of pressure reference values are determined by a plurality of pressure values acquired in real time, each air bag is installed at different positions of the single-side intelligent mattress, and the different positions correspond to different body parts of a user; then respectively determining the body motion grades of different body parts of the user based on all fluctuation pressure values in one fluctuation area in each pressure baseline; and finally, determining the adjustment target value of each air bag according to the body movement grades of different body parts of the user and the corresponding pressure reference value before body movement. The method can intelligently adjust the hardness of each air bag of the intelligent mattress, so as to achieve the intelligent adjustment of accurate supporting pressure, eliminate the failure of intelligent adjustment caused by misjudgment of leaving the bed, and greatly improve the accuracy and real-time performance of intelligent adjustment.
Example two
Fig. 4 is a schematic flow chart of an adjusting method of an intelligent mattress according to a second embodiment of the present invention, and the second embodiment is optimized based on the above embodiments. Please refer to the first embodiment for a detailed description of the present embodiment.
As shown in fig. 4, a second embodiment of the present invention provides an adjusting method for an intelligent mattress, including the following steps:
and S210, acquiring a pressure baseline of each air bag in the single-side intelligent mattress in real time.
The pressure base line is a broken line formed by a plurality of pressure reference values of one air bag, the pressure reference values are determined by a plurality of pressure values acquired in real time, each air bag is installed at different positions of the single-side intelligent mattress, and the different positions correspond to different body parts of a user.
And S220, respectively determining the body motion grades of different body parts of the user based on all the fluctuation pressure values in one fluctuation area in each pressure baseline.
And S230, determining the adjustment target value of each air bag according to the body movement grades of different body parts of the user, the corresponding pressure reference value before body movement and the corresponding pressure reference value after body movement.
In the embodiment of the invention, the mode of determining the adjustment target value of the air bag is determined by section judgment.
In the present embodiment, the calculation process of the adjustment target value for each airbag is the same. The following description will be given taking an example of a calculation process of an adjustment target value of a target airbag, with any one of the airbags being the target airbag.
Specifically, determining the body motion grade of a target body part corresponding to the target air bag; determining a pre-body movement pressure reference value and a post-body movement pressure reference value corresponding to the body movement grade of the target body part; calculating the difference value between the pressure reference value before body movement and the pressure reference value after body movement; determining a target interval corresponding to the combination of the body motion grade and the difference value; and taking the adjustment target value corresponding to the target section as the adjustment target value of the target air bag.
The second adjusting method of the intelligent mattress provided by the embodiment of the invention comprises the following steps of firstly, acquiring the pressure base line of each air bag in the single-side intelligent mattress in real time; then respectively determining the body motion grades of different body parts of the user based on all fluctuation pressure values in one fluctuation area in each pressure baseline; and finally, determining the adjustment target value of each air bag according to the body movement grades of different body parts of the user, the corresponding pressure reference value before body movement and the corresponding pressure reference value after body movement. By using the method, the adjusting accuracy of the intelligent mattress can be improved.
EXAMPLE III
Fig. 5 is a schematic structural diagram of an adjusting apparatus for an intelligent mattress according to a third embodiment of the present invention, which is suitable for adjusting the intelligent mattress, especially suitable for adjusting the intelligent mattress when a user is on the intelligent mattress, wherein the apparatus can be implemented by software and/or hardware and is generally integrated on an electronic device.
As shown in fig. 5, the apparatus includes: an acquisition module 110, a first determination module 120, and a second determination module 130.
An obtaining module 110, configured to obtain a pressure baseline of each air cell in a single-sided intelligent mattress in real time, where one pressure baseline is a broken line formed by multiple pressure reference values of one air cell, where the multiple pressure reference values are determined by multiple pressure values obtained through real-time acquisition, and each air cell is installed at different positions of the single-sided intelligent mattress, where the different positions correspond to different body parts of a user;
the first determining module 120 is configured to determine body motion levels of different body parts of the user based on all fluctuation pressure values in one fluctuation region in each pressure baseline;
and a second determining module 130, configured to determine an adjustment target value of each airbag according to the body movement levels of different body parts of the user and the corresponding pre-body-movement pressure reference values.
In this embodiment, the apparatus first obtains a pressure baseline of each air cell in the single-sided intelligent mattress in real time through an obtaining module 110, where one pressure baseline is a broken line formed by a plurality of pressure reference values of one air cell, the plurality of pressure reference values are determined by a plurality of pressure values collected in real time, each air cell is installed at different positions of the single-sided intelligent mattress, and the different positions correspond to different body parts of a user; then, the body motion grades of different body parts of the user are respectively determined through the first determining module 120 based on all fluctuation pressure values in one fluctuation area in each pressure baseline; finally, the second determining module 130 determines the adjustment target value of each air bag according to the body movement grades of different body parts of the user and the corresponding pressure reference value before body movement.
The embodiment provides an adjusting device of intelligence mattress, can accurate definite regulation target value, has higher regulation rate of accuracy, effectively improves user's satisfaction.
Wherein, the determination mode of each pressure reference value is as follows: acquiring a plurality of pressure values acquired within preset time; filtering the pressure values to obtain a plurality of smooth pressure values; and removing the extreme value from the plurality of smooth pressure values, and then averaging to obtain a pressure reference value within the preset time.
Further, the first determining module 120 is specifically configured to: regarding one pressure baseline, taking the pressure baseline as a target pressure baseline, and determining the duration from the beginning to the end of the body movement and a pressure reference value before the beginning of the body movement on the target pressure baseline according to a target fluctuation region in the target pressure baseline; determining the sum of fluctuation amplitudes in the target fluctuation area; determining the body movement grade of the body part corresponding to the user in the duration according to the pressure reference value before the body movement, the duration and the fluctuation amplitude sum in the target fluctuation area;
wherein, the determination mode of the fluctuation amplitude sum in the target fluctuation area is as follows: calculating a difference value between each fluctuation pressure value in the target fluctuation area and a pressure reference value before the start of the body movement as a first difference value; and taking the sum of a plurality of first difference values as the sum of fluctuation amplitudes in the target fluctuation region.
Further, determining the duration from the beginning of the body movement to the end of the body movement on the target pressure baseline includes: taking the time corresponding to the fluctuation starting point of the target fluctuation area on the target pressure baseline as body motion starting time, and taking the time corresponding to the fluctuation ending point of the target fluctuation area on the target pressure baseline as body motion ending time; and taking the duration between the body motion starting time and the body motion ending time as the duration from the body motion starting to the body motion ending.
Further, the determining the body movement level of the body part corresponding to the user in the duration according to the pressure reference value before the body movement, the duration and the sum of the fluctuation amplitudes in the target fluctuation area includes: taking the difference between the pressure reference value before the body movement and the sum of the fluctuation amplitudes in the target fluctuation area as a second difference; determining a target range interval in which a combination formed by the second difference and the duration is located; and taking the body motion grade corresponding to the target range interval as the body motion grade of the body part corresponding to the user in the duration.
Further, the second determining module 130 is specifically configured to: determining, for a target airbag, a sum of a first calculation result, which is a product of a third power of a body motion level of a target body part and a first coefficient, a second calculation result, which is a product of a second power of the body motion level of the target body part and a second coefficient, and a third calculation result, which is a product of the body motion level of the target body part and a third coefficient, as a first result sum; determining a sum of a fourth calculation result and a fifth calculation result as a second result sum, wherein the fourth calculation result is a product of a fourth coefficient and a square of a pre-body-movement pressure reference value corresponding to the target airbag, and the fifth calculation result is a product of a pre-body-movement pressure reference value corresponding to the target airbag and a fifth coefficient; and taking the sum of the first result sum, the second result sum and a preset value as the adjustment target value of the target air bag.
The adjusting device of the intelligent mattress can execute the adjusting method of the intelligent mattress provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the executing method.
Example four
FIG. 6 illustrates a schematic structural diagram of an electronic device 10 that may be used to implement an embodiment of the present invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 6, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM)12, a Random Access Memory (RAM)13, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 can perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM)12 or the computer program loaded from a storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data necessary for the operation of the electronic apparatus 10 may also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
A number of components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, or the like; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. The processor 11 performs the various methods and processes described above, such as the conditioning method of an intelligent mattress.
In some embodiments, the adjustment method of the smart mattress may be implemented as a computer program, which is tangibly embodied in a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method of adjustment of a smart mattress described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured by any other suitable means (e.g. by means of firmware) to perform the adjustment method of the smart mattress.
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.
EXAMPLE five
Fig. 7 is a schematic structural diagram of an intelligent mattress according to a fifth embodiment of the present invention, and as shown in fig. 7, the intelligent mattress includes an acquisition device 710 and an electronic device 720 according to any embodiment of the present invention. The acquisition device 710 is in communication connection with the electronic device 720;
the collecting device 710 is used for collecting pressure values of a plurality of air bags in the intelligent mattress in real time;
the electronics 720 are configured to adjust the smart mattress based on the pressure value.
The collecting device 710 may be any device capable of collecting the pressure value of the air bag.
The electronic device 720 can be used for executing the method for adjusting the intelligent mattress according to any embodiment of the invention to perform intelligent adjustment of inflation and deflation of the air bags.
The fifth embodiment of the invention provides the intelligent mattress, which can realize intelligent adjustment of inflation and deflation of the air bags through the acquisition equipment and the electronic equipment 720, has high adjustment accuracy and provides good sleep experience for users.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (11)
1. An adjustment method of an intelligent mattress, characterized in that the method comprises:
the method comprises the steps that a pressure baseline of each air bag in the single-side intelligent mattress is obtained in real time, one pressure baseline is a broken line formed by a plurality of pressure reference values of one air bag, the plurality of pressure reference values are determined by a plurality of pressure values obtained through real-time acquisition, each air bag is installed at different positions of the single-side intelligent mattress, and the different positions correspond to different body parts of a user;
respectively determining the body motion grades of different body parts of the user based on all fluctuation pressure values in one fluctuation area in each pressure baseline;
and determining the adjustment target value of each air bag according to the body movement grades of different body parts of the user and the corresponding pressure reference value before body movement.
2. The method of claim 1, wherein each pressure reference value is determined by:
acquiring a plurality of pressure values acquired within preset time;
filtering the pressure values to obtain a plurality of smooth pressure values;
and removing the extreme value from the plurality of smooth pressure values, and then averaging to obtain a pressure reference value within the preset time.
3. The method of claim 1, wherein determining the body motion level of different body parts of the user based on all fluctuating pressure values in one fluctuation region in each pressure baseline respectively comprises:
regarding one pressure baseline, taking the pressure baseline as a target pressure baseline, and determining the duration from the beginning to the end of the body movement and a pressure reference value before the beginning of the body movement on the target pressure baseline according to a target fluctuation region in the target pressure baseline;
determining the sum of fluctuation amplitudes in the target fluctuation area;
determining the body movement grade of the body part corresponding to the user in the duration according to the pressure reference value before the body movement, the duration and the fluctuation amplitude sum in the target fluctuation area;
wherein, the determination mode of the fluctuation amplitude sum in the target fluctuation area is as follows: calculating a difference value between each fluctuation pressure value in the target fluctuation area and a pressure reference value before the start of the body movement as a first difference value; and taking the sum of a plurality of first difference values as the sum of fluctuation amplitudes in the target fluctuation region.
4. The method of claim 3, wherein determining the duration of a start of a body movement to an end of a body movement on the target pressure baseline comprises:
taking the time corresponding to the fluctuation starting point of the target fluctuation area on the target pressure baseline as body motion starting time, and taking the time corresponding to the fluctuation ending point of the target fluctuation area on the target pressure baseline as body motion ending time;
and taking the duration between the body motion starting time and the body motion ending time as the duration from the body motion starting to the body motion ending.
5. The method according to claim 3, wherein the determining the body motion level of the corresponding body part of the user in the duration according to the pressure reference value before the body motion, the duration and the sum of the fluctuation amplitudes in the target fluctuation area comprises:
taking the difference between the pressure reference value before the body movement and the sum of the fluctuation amplitudes in the target fluctuation area as a second difference;
determining a target range interval in which a combination formed by the second difference and the duration is located;
and taking the body motion grade corresponding to the target range interval as the body motion grade of the body part corresponding to the user in the duration.
6. The method according to claim 1, wherein the determining the adjustment target value of each air bag according to the body movement levels of different body parts of the user and the corresponding pre-body-movement pressure reference value comprises:
determining, for a target airbag, a sum of a first calculation result, which is a product of a third power of a body motion level of a target body part and a first coefficient, a second calculation result, which is a product of a second power of the body motion level of the target body part and a second coefficient, and a third calculation result, which is a product of the body motion level of the target body part and a third coefficient, as a first result sum;
determining a sum of a fourth calculation result and a fifth calculation result as a second result sum, wherein the fourth calculation result is a product of a fourth coefficient and a square of a pre-body-movement pressure reference value corresponding to the target airbag, and the fifth calculation result is a product of a pre-body-movement pressure reference value corresponding to the target airbag and a fifth coefficient;
and taking the sum of the first result sum, the second result sum and a preset value as the adjustment target value of the target air bag.
7. An adjustment device for an intelligent mattress, the device comprising:
the acquisition module is used for acquiring a pressure baseline of each air bag in the single-side intelligent mattress in real time, wherein one pressure baseline is a broken line formed by a plurality of pressure reference values of one air bag, the plurality of pressure reference values are determined by a plurality of pressure values acquired in real time, each air bag is installed at different positions of the single-side intelligent mattress, and the different positions correspond to different body parts of a user;
the first determining module is used for respectively determining the body motion grades of different body parts of the user based on all fluctuation pressure values in one fluctuation area in each pressure baseline;
and the second determining module is used for determining the adjusting target value of each air bag according to the body movement grades of different body parts of the user and the corresponding pressure reference value before body movement.
8. An electronic device, characterized in that the electronic device comprises:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of conditioning a smart mattress according to any one of claims 1-7.
9. An intelligent mattress, characterized in that the intelligent mattress comprises an acquisition device and an electronic device according to claim 8, the acquisition device being communicatively connected to the electronic device;
the acquisition equipment is used for acquiring the pressure values of a plurality of air bags in the intelligent mattress in real time;
the electronic device is used for adjusting the intelligent mattress based on the pressure value.
10. A computer-readable storage medium, characterized in that it stores computer instructions for causing a processor to carry out the method of conditioning a smart mattress according to any one of claims 1-7 when executed.
11. A computer program product, characterized in that the computer program product comprises a computer program which, when being executed by a processor, carries out the method of adjustment of a smart mattress according to any one of claims 1-7.
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