CN114869104B - 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
- A47C27/081—Fluid mattresses of pneumatic type
- A47C27/083—Fluid mattresses 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
- A47C27/081—Fluid mattresses of pneumatic type
- A47C27/082—Fluid mattresses 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
- A47C27/081—Fluid mattresses of pneumatic type
- A47C27/084—Fluid mattresses 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
- A47C27/10—Fluid mattresses 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 intelligent mattress adjusting method, device, equipment, mattress, medium and product. The method comprises the following steps: 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 arranged at different positions of the single-side intelligent mattress, and the different positions correspond to different body parts of a user; determining body movement levels of different body parts of the user based on all fluctuation pressure values in one fluctuation area in each pressure baseline; and determining an 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 home furnishing, in particular to an intelligent mattress adjusting method, an intelligent mattress adjusting device, intelligent mattress adjusting equipment, an intelligent mattress medium and an intelligent mattress product.
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 on household articles are also continuously improved. Intelligent mattresses are receiving widespread attention as an important household item.
Most of the existing intelligent mattresses can intelligently adjust inflation and deflation of the air bags according to body movement of people, so that users have better sleeping experience. In the prior art, the intelligent mattress needs to judge the user's in-bed state at first, namely the user is in bed or in-bed state, and then the intelligent regulation is carried out on the mattress according to the user's in-bed state, and the regulation principle is that the intelligent regulation is carried out according to the pre-body-movement air pressure level and the post-body-movement air pressure level. This solution has the drawback of lower regulation accuracy.
Disclosure of Invention
The inventors have found that the prior art solutions have the following drawbacks: in the prior art, misjudgment is easy to be caused when a user is judged to be in a bed leaving state, and the result of misjudgment causes failure in intelligent mattress adjustment; according to the scheme in the prior art, the intelligent mattress is adjusted only according to the pre-body-movement air pressure level and the post-body-movement air pressure level, so that the accuracy of adjustment is low, the comfort adjustment effect of the intelligent mattress is greatly affected, and poor sleeping experience is provided for a user.
The invention provides an intelligent mattress adjusting method, device, equipment, mattress, medium and product, which are used for solving the defect that in the prior art, the intelligent mattress can be adjusted only under the condition that a user is on a bed, and the problem of low adjusting accuracy in the prior art.
According to an aspect of the present invention, there is provided an adjusting method of an intelligent mattress, including:
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 arranged at different positions of the single-side intelligent mattress, and the different positions correspond to different body parts of a user;
determining body movement levels of different body parts of the user based on all fluctuation pressure values in one fluctuation area in each pressure baseline;
and determining an 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 adjusting device of an intelligent mattress, comprising:
The system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring a pressure baseline of each air bag in the single-side intelligent mattress 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 acquired in real time, each air bag is arranged 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 determining body movement grades of different body parts of the user respectively 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 an intelligent mattress comprising: at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of conditioning a smart mattress according to any of the embodiments of the present invention.
According to another aspect of the present invention, there is provided an intelligent mattress comprising an acquisition device and an electronic device according to any of the embodiments of the present 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 execute the method for conditioning an intelligent mattress according to any of the embodiments of the present invention.
According to another aspect of the invention, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the method of conditioning an intelligent mattress according to any of the embodiments of the invention.
According to the technical scheme provided by 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, and then the intelligent mattress can be intelligently adjusted according to the body movement grade, so that the problem that the intelligent mattress is failed to adjust after the user is misjudged in the off-bed state in the prior art is solved, and the beneficial effect of reducing the adjustment failure rate is achieved; on the other hand, the body movement grade can be accurately calculated through all fluctuation pressure values in one fluctuation area, intelligent adjustment is performed according to the body movement grade, the problem that the adjustment accuracy is low in the prior art is solved, and the beneficial effect of improving the adjustment accuracy is achieved.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a method for adjusting an intelligent mattress according to an embodiment of the invention;
FIG. 2 is a graph showing pressure values in a method for adjusting an intelligent mattress according to an embodiment of the present invention;
FIG. 3 is a schematic view showing pressure baselines of different position airbags according to one embodiment of the present invention;
fig. 4 is a flow chart of a method for adjusting an intelligent mattress according to a second embodiment of the present invention;
fig. 5 is a schematic structural diagram of an adjusting device for an intelligent mattress according to a third embodiment of the present invention;
FIG. 6 is a schematic diagram of the electronic device of the method for adjusting 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 that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the 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. Furthermore, 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 "including" and variations thereof as used herein are intended to be 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. Related definitions of other terms will be given in the description below.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise 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 should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those skilled in the art will appreciate that "one or more" is intended to be construed as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the devices in the embodiments of the present invention are for illustrative purposes only and are not intended to limit the scope of such messages or information.
Example 1
Fig. 1 is a schematic flow chart of a method for adjusting an intelligent mattress according to an embodiment of the present invention, where the method is applicable to the case of adjusting an intelligent mattress, and is particularly applicable to the case of adjusting an intelligent mattress when a user is on the intelligent mattress. The method may be performed by an adjustment device of the intelligent mattress, wherein the device may be implemented by software and/or hardware and is typically integrated on an electronic device, which is embedded inside the intelligent mattress, which in this embodiment may be any type of intelligent mattress.
It should be noted that, the intelligent mattress in the embodiment of the invention is a double mattress, so that the mattresses at two sides can be adjusted separately, and the adjusting methods of the mattresses at two sides are the same, and here, a single-side intelligent mattress is taken as an example for illustration. Alternatively, 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 an 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 arranged at different positions of the single-side intelligent mattress, and the different positions correspond to different body parts of a user.
Wherein, inside the unilateral intelligent mattress can include a plurality of air bags, a plurality of air bags are located different positions respectively, and different positions correspond to different body parts of the user, and exemplary, different body parts can include shoulders, waist, buttocks and legs.
The pressure value of each air bag can be acquired simultaneously in real time, and the acquisition frequency can be set arbitrarily, for example, the pressure value can be acquired once in 10 ms. One possible way is to collect the pressure values of the air bags by a collection device such as an air pressure sensor in the intelligent mattress, process the collected pressure values of different air bags to obtain pressure reference values of different air bags, and obtain a pressure baseline of each air bag based on the pressure reference value of each air bag.
Fig. 2 is a graph of pressure values in an adjusting method of an intelligent mattress according to an embodiment of the present invention, as shown in fig. 2, pressure values collected in real time are non-smooth data deviating from actual values, so that the pressure values need to be processed, and stable and effective pressure values are extracted as pressure reference values. In fig. 2, the horizontal axis represents time in milliseconds, which means that one data is collected for 10 ms; the vertical axis represents the barometric pressure 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 plurality of pressure values to obtain a plurality of smooth pressure values; and removing the extreme value in the plurality of smooth pressure values, and then taking an average value to obtain a pressure reference value in the preset time.
The preset time may be preset time, and exemplary, the preset time may be 2s, and if the collection frequency is 10ms, 200 pressure values may be collected in 2 s.
The filtering process may include median filtering, high-low filtering, smoothing filtering, and the like.
In this embodiment, the average value of the remaining smoothed pressure values is calculated after removing the maximum value and the minimum value among the smoothed pressure values obtained after filtering, and a pressure reference value that is a pressure reference value within a preset time is obtained.
FIG. 3 is a schematic view of pressure baselines of a balloon at different positions according to an embodiment of the present invention, wherein FIG. 3 includes 2 pressure baselines, one pressure baseline is the pressure baseline of the balloon at the waist position, and the other pressure baseline is the pressure baseline of the balloon at the shoulder position. In fig. 3, the horizontal axis represents time in milliseconds; the ordinate indicates the barometric pressure-voltage conversion value.
S120, determining the body movement grades of different body parts of the user respectively based on all fluctuation pressure values in one fluctuation area in each pressure baseline.
In this embodiment, the body movement level 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 air bag at the waist position, the body movement grade of the waist of the user can be determined according to all fluctuation pressure values in the pressure baseline.
Wherein, since the pressure baseline is determined according to the pressure values acquired in real time, when fluctuation occurs in the pressure baseline, the body movement grade can be calculated immediately according to all the fluctuation pressure values in the fluctuation area.
In this embodiment, taking a pressure baseline as an example, the body movement level corresponding to one fluctuation region in the pressure baseline is calculated. Specifically, the process of determining the body movement level of the corresponding body part based on a fluctuation region in a pressure baseline may be: and determining the fluctuation starting time and the fluctuation ending time of a fluctuation area from the pressure base line, calculating the fluctuation amplitude sum in the fluctuation area, and determining the body movement grade of the body part corresponding to the user in the fluctuation time according to the fluctuation time length, the fluctuation amplitude sum and the pressure reference value before the fluctuation starts.
Further, the determining the body movement grade of different body parts of the user based on all the fluctuating pressure values in one fluctuating area in each pressure baseline includes: regarding one pressure baseline, taking the one pressure baseline as a target pressure baseline, and regarding one target fluctuation area in the target pressure baseline, determining duration from body movement start to body movement end and a pressure reference value before body movement start on 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 body movement, the duration and the sum of fluctuation amplitudes in the target fluctuation area;
the method for determining 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 body movement starts as a first difference value; and taking the sum of a plurality of the first differences as the sum of fluctuation amplitudes in the target fluctuation area.
In this embodiment, the manner of determining the duration from the start of body movement to the end of body movement on the target pressure baseline may be: and determining a duration corresponding to a target fluctuation area on the target pressure baseline, and taking the duration as a duration from the beginning of body movement to the end of body movement.
Further, determining a duration from the body movement start time to the body movement end on the target pressure baseline includes: taking the time corresponding to the fluctuation starting point of the target fluctuation area on the target pressure base line as body movement starting time and taking the time corresponding to the fluctuation ending point of the target fluctuation area on the target pressure base line as body movement ending time; and taking the duration between the body movement starting time and the body movement ending time as the duration from the body movement starting to the body movement ending.
It will be appreciated that the presence of a region of fluctuation at the target pressure baseline is indicative of the presence of body movement at a certain body part of the user and may be understood as indicative of body movement.
Accordingly, the manner of determining the pressure reference value before the body movement starts on the target pressure baseline may be: the pressure reference value before the occurrence of the target fluctuation region on the target pressure base line is taken as the pressure reference value before the start of body movement.
The fluctuation may include upward fluctuation and downward fluctuation, where the fluctuation pressure value is an actual value, and has no direction and positive or negative, and the first difference value is calculated based on the actual value.
Further, the determining the body movement grade of the body part corresponding to the user in the duration according to the pressure reference value before body movement, the duration and the sum of the fluctuation amplitudes in the target fluctuation area includes: taking the difference value between the pressure reference value before body movement and the fluctuation amplitude sum of the target pressure baseline as a second difference value; determining a target range interval where a combination formed by the second difference value and the duration is located; and taking the body movement grade corresponding to the target range interval as the body movement grade of the body part corresponding to the user in the duration.
For example, if the second difference is 3000 and the sum of the fluctuation amplitudes in the target fluctuation area is 10000, it may be determined (3000,10000) which range section belongs to, each range section has a corresponding body movement grade, and if it is determined that the first range section is output, it may be determined that the body movement grade is grade 1.
S130, determining an adjustment target value of each air bag according to body movement grades of different body parts of the user and corresponding pressure reference values before body movement.
In this embodiment, the adjustment target values of the air bags corresponding to the different body parts of the user can be determined according to the body movement grades of the different body parts of the user and the pressure reference values before the body movement of the different body parts of the user starts.
In this embodiment, any one of the airbags may be used as the target airbag, and the adjustment target value calculation process for each airbag is the same.
Specifically, the 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 includes: determining a sum of a first calculation result, a second calculation result and a third calculation result as a first result sum, wherein the first calculation result is a product of a third power of a body movement level of a target body part and a first coefficient, the second calculation result is a product of a second power of the body movement level of the target body part and a second coefficient, and the second calculation result is a product of the body movement level of the target body part and a third coefficient; determining the sum of a fourth calculation result and a fifth calculation result as a second result sum, wherein the fourth calculation result is the product of the second power of the pressure reference value before body movement corresponding to the target air bag and a fourth coefficient, and the fifth calculation result is the product of the pressure reference value before body movement corresponding to the target air bag and a fifth coefficient; and taking the sum of the first result sum, the second result sum and a preset value as an 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
wherein out shouler Representing a target balloonC1 represents a first coefficient, C2 represents a second coefficient, C3 represents a third coefficient, C4 represents a fourth coefficient, C5 represents a fifth coefficient, C represents a preset value, g represents a body movement level of the target body part, and b represents a pre-body movement pressure reference value corresponding to the target air bag.
According to the adjusting method of the intelligent mattress provided by the embodiment of the invention, firstly, the pressure base line of each air bag in the single-side intelligent mattress is obtained in real time, one pressure base line is a broken line formed by a plurality of pressure base values of one air bag, the plurality of pressure base values are determined by a plurality of pressure values acquired in real time, each air bag is arranged 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 movement 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 an 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 the inflatable and deflatable air bags of the intelligent mattress so as to achieve intelligent adjustment of accurate supporting pressure, eliminate intelligent adjustment failure caused by misjudgment when the mattress leaves the bed, and greatly improve the accuracy and instantaneity of intelligent adjustment.
Example two
Fig. 4 is a schematic flow chart of an adjustment method of an intelligent mattress according to a second embodiment of the present invention, where the second embodiment is optimized based on the above embodiments. For details not yet described in detail in this embodiment, refer to embodiment one.
As shown in fig. 4, the adjusting method of the intelligent mattress provided by the second embodiment of the invention includes the following steps:
s210, acquiring a pressure baseline of each air bag in the single-side intelligent mattress in real time.
The pressure baseline is a broken line formed by a plurality of pressure reference values of an air bag, the plurality of pressure reference values are determined by a plurality of pressure values acquired in real time, each air bag is arranged at different positions of the single-side intelligent mattress, and the different positions correspond to different body parts of a user.
S220, determining the body movement grades of different body parts of the user respectively based on all fluctuation pressure values in one fluctuation area in each pressure baseline.
S230, determining an adjustment target value of each air bag according to the body movement grades of different body parts of the user, and corresponding pressure reference values before and after body movement.
In the embodiment of the invention, the mode of determining the regulation target value of the air bag is determined through interval judgment.
In the present embodiment, the calculation process of the adjustment target value for each airbag is the same. Taking any one of the airbags as a target airbag, a calculation process of an adjustment target value of the target airbag will be described as an example.
Specifically, determining the body movement grade of a target body part corresponding to a target air bag; determining a pressure reference value before body movement and a pressure reference value after body movement, which correspond to the body movement grade of the target body part; calculating the difference between the pressure reference value before the body movement and the pressure reference value after the body movement; determining a target interval corresponding to a combination formed by the body movement grade and the difference value; and taking the adjusting target value corresponding to the target section as the adjusting target value of the target air bag.
The second embodiment of the invention provides an intelligent mattress adjusting method, which comprises the steps of firstly, acquiring a pressure baseline of each air bag in a single-side intelligent mattress in real time; then, respectively determining the body movement 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 an adjustment target value of each air bag according to the body movement grades of different body parts of the user, and corresponding pressure reference values before and after body movement. By utilizing the method, the adjustment accuracy of the intelligent mattress can be improved.
Example III
Fig. 5 is a schematic structural diagram of an adjusting device for an intelligent mattress according to a third embodiment of the present invention, where the device is applicable to the case of adjusting an intelligent mattress, and is particularly applicable to the case of adjusting an intelligent mattress by a user in the case of the intelligent mattress, and the device may be implemented by software and/or hardware and is generally integrated on an electronic device.
As shown in fig. 5, the apparatus includes: the acquisition module 110, the first determination module 120, and the second determination module 130.
The acquiring module 110 is configured to acquire, in real time, a pressure baseline of each air bag in the single-side intelligent mattress, where 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 a different position of the single-side intelligent mattress, and the different positions correspond to different body parts of a user;
a first determining module 120, configured to determine body movement levels of different body parts of the user based on all fluctuating pressure values in one fluctuating area in each pressure baseline;
the second determining module 130 is configured to determine an 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.
In this embodiment, the device firstly acquires, in real time, a pressure baseline of each air bag in the unilateral intelligent mattress through the acquisition module 110, 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 unilateral intelligent mattress, and the different positions correspond to different body parts of a user; then, the body movement grades of different body parts of the user are respectively determined by 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 an intelligent mattress, which can accurately determine an adjusting target value, has higher adjusting accuracy and effectively improves the satisfaction of users.
Wherein, the mode of determining each pressure reference value is as follows: acquiring a plurality of pressure values acquired within preset time; filtering the plurality of pressure values to obtain a plurality of smooth pressure values; and removing the extreme value in the plurality of smooth pressure values, and then taking an average value to obtain a pressure reference value in the preset time.
Further, the first determining module 120 is specifically configured to: regarding one pressure baseline, taking the one pressure baseline as a target pressure baseline, and regarding one target fluctuation area in the target pressure baseline, determining duration from body movement start to body movement end and a pressure reference value before body movement start on 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 body movement, the duration and the sum of fluctuation amplitudes in the target fluctuation area;
the method for determining 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 body movement starts as a first difference value; and taking the sum of a plurality of the first differences as the sum of fluctuation amplitudes in the target fluctuation area.
Further, determining a duration from the beginning of body movement to the end of 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 base line as body movement starting time and taking the time corresponding to the fluctuation ending point of the target fluctuation area on the target pressure base line as body movement ending time; and taking the duration between the body movement starting time and the body movement ending time as the duration from the body movement starting to the body movement ending.
Further, the determining the body movement grade of the body part corresponding to the user in the duration according to the pressure reference value before body movement, the duration and the sum of the fluctuation amplitudes in the target fluctuation area includes: taking the difference value between the pressure reference value before body movement and the sum of fluctuation amplitudes in the target fluctuation area as a second difference value; determining a target range interval where a combination formed by the second difference value and the duration is located; and taking the body movement grade corresponding to the target range interval as the body movement grade of the body part corresponding to the user in the duration.
Further, the second determining module 130 is specifically configured to: determining a sum of a first calculation result, a second calculation result and a third calculation result as a first result sum, wherein the first calculation result is a product of a third power of a body movement level of a target body part and a first coefficient, the second calculation result is a product of a second power of the body movement level of the target body part and a second coefficient, and the second calculation result is a product of the body movement level of the target body part and a third coefficient; determining the sum of a fourth calculation result and a fifth calculation result as a second result sum, wherein the fourth calculation result is the product of the second power of the pressure reference value before body movement corresponding to the target air bag and a fourth coefficient, and the fifth calculation result is the product of the pressure reference value before body movement corresponding to the target air bag and a fifth coefficient; and taking the sum of the first result sum, the second result sum and a preset value as an adjustment target value of the target air bag.
The intelligent mattress adjusting device can execute the intelligent mattress adjusting method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the executing method.
Example IV
Fig. 6 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the 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. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, 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, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 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.
Various 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, etc.; 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, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the intelligent mattress conditioning method.
In some embodiments, the method of conditioning the intelligent mattress may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. One or more of the steps of the intelligent mattress conditioning method described above may be performed when the computer program is loaded into RAM 13 and executed by processor 11. Alternatively, in other embodiments, the processor 11 may be configured to perform the intelligent mattress adjustment method in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On 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, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out 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 implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The 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) through 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 may 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 input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background 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 background, 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. The client and server are typically 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 hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
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 communicatively connected to the electronic device 720;
the acquisition equipment 710 is used for acquiring pressure values of a plurality of air bags in the intelligent mattress in real time;
the electronics 720 are configured to adjust the intelligent mattress based on the pressure value.
The acquisition device 710 may be any device capable of acquiring a pressure value of the air bag.
The electronic device 720 may be used to perform the method for adjusting an intelligent mattress according to any embodiment of the present invention to perform intelligent adjustment of inflation and deflation of the air bags.
The fifth embodiment of the invention provides an intelligent mattress, which can realize intelligent adjustment of inflation and deflation of an air bag through acquisition equipment and electronic equipment 720, has high adjustment accuracy and provides good sleeping experience for users.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (9)
1. A method of conditioning an intelligent mattress, the method comprising:
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 arranged at different positions of the single-side intelligent mattress, and the different positions correspond to different body parts of a user;
determining body movement levels of different body parts of the user based on all fluctuation pressure values in one fluctuation area in each pressure baseline;
determining an 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 step of 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 comprises the following steps:
determining a sum of a first calculation result, a second calculation result and a third calculation result as a first result sum, wherein the first calculation result is a product of a third power of a body movement level of a target body part and a first coefficient, the second calculation result is a product of a second power of the body movement level of the target body part and a second coefficient, and the second calculation result is a product of the body movement level of the target body part and a third coefficient;
determining the sum of a fourth calculation result and a fifth calculation result as a second result sum, wherein the fourth calculation result is the product of the second power of the pressure reference value before body movement corresponding to the target air bag and a fourth coefficient, and the fifth calculation result is the product of the pressure reference value before body movement corresponding to the target air bag and a fifth coefficient;
and taking the sum of the first result sum, the second result sum and a preset value as an adjustment target value of the target air bag.
2. The method according to claim 1, wherein each pressure reference value is determined in the following manner:
Acquiring a plurality of pressure values acquired within preset time;
filtering the plurality of pressure values to obtain a plurality of smooth pressure values;
and removing the extreme value in the plurality of smooth pressure values, and then taking an average value to obtain a pressure reference value in the preset time.
3. The method of claim 1, wherein the determining the body movement level of the different body parts of the user based on all fluctuating pressure values in one fluctuating zone in each pressure baseline, respectively, comprises:
regarding one pressure baseline, taking the one pressure baseline as a target pressure baseline, and regarding one target fluctuation area in the target pressure baseline, determining duration from body movement start to body movement end and a pressure reference value before body movement start on 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 body movement, the duration and the sum of fluctuation amplitudes in the target fluctuation area;
the method for determining 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 body movement starts as a first difference value; and taking the sum of a plurality of the first differences as the sum of fluctuation amplitudes in the target fluctuation area.
4. A method according to claim 3, wherein determining the duration from the beginning of body movement to the end of 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 base line as body movement starting time and taking the time corresponding to the fluctuation ending point of the target fluctuation area on the target pressure base line as body movement ending time;
and taking the duration between the body movement starting time and the body movement ending time as the duration from the body movement starting to the body movement ending.
5. A method according to claim 3, wherein said determining the body movement level of the user's corresponding body part in the duration from the sum of the pressure reference value before the body movement, the duration, and the fluctuation amplitude in the target fluctuation area comprises:
taking the difference value between the pressure reference value before body movement and the sum of fluctuation amplitudes in the target fluctuation area as a second difference value;
determining a target range interval where a combination formed by the second difference value and the duration is located;
and taking the body movement grade corresponding to the target range interval as the body movement grade of the body part corresponding to the user in the duration.
6. An intelligent mattress adjustment device, the device comprising:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring a pressure baseline of each air bag in the single-side intelligent mattress 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 acquired in real time, each air bag is arranged 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 determining body movement grades of different body parts of the user respectively based on all fluctuation pressure values in one fluctuation area in each pressure baseline;
the second determining module is used for determining an 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;
the second determining module is used for determining an 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;
the method is particularly used for: determining a sum of a first calculation result, a second calculation result and a third calculation result as a first result sum, wherein the first calculation result is a product of a third power of a body movement level of a target body part and a first coefficient, the second calculation result is a product of a second power of the body movement level of the target body part and a second coefficient, and the second calculation result is a product of the body movement level of the target body part and a third coefficient; determining the sum of a fourth calculation result and a fifth calculation result as a second result sum, wherein the fourth calculation result is the product of the second power of the pressure reference value before body movement corresponding to the target air bag and a fourth coefficient, and the fifth calculation result is the product of the pressure reference value before body movement corresponding to the target air bag and a fifth coefficient; and taking the sum of the first result sum, the second result sum and a preset value as an adjustment target value of the target air bag.
7. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of conditioning a smart mattress according to any one of claims 1-6.
8. An intelligent mattress, comprising a collection device and the electronic device of claim 7, wherein the collection device is communicatively connected to the electronic device;
the acquisition equipment is used for acquiring 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.
9. A computer readable storage medium, characterized in that it stores computer instructions for causing a processor to implement the method of conditioning an intelligent mattress according to any of claims 1-6 when executed.
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| JP2005204930A (en) * | 2004-01-22 | 2005-08-04 | Gunze Ltd | Bed monitoring device |
| US8973193B2 (en) * | 2012-08-08 | 2015-03-10 | Richard N. Codos | Methods of optimizing a pressure contour of a pressure adjustable platform system |
| US11642077B2 (en) * | 2016-04-29 | 2023-05-09 | Fitbit, Inc. | Sleep monitoring system with optional alarm functionality |
| CN107126005A (en) * | 2017-07-03 | 2017-09-05 | 广东葆康信息科技有限公司 | Biomethanics mattress and system |
| CN108420228A (en) * | 2018-04-13 | 2018-08-21 | 浙江想能云软件股份有限公司 | A kind of soft or hard adjustable bed mattess of intelligence and its monitoring method of sleep state monitoring |
| EP3787441B1 (en) * | 2018-05-01 | 2023-08-09 | Bryte, Inc. | Sleep phase dependent pressure control and learning methods to optimize sleep quality |
| CN110123554B (en) * | 2019-05-22 | 2021-07-23 | 北京工业大学 | An airbag mattress device for preventing pressure ulcers for long-term care of bedridden elderly |
| CN111743348A (en) * | 2020-08-06 | 2020-10-09 | 广东珞珈睡眠科技有限公司 | Intelligent air bag mattress with multiple modes and control method thereof |
| CN112674533B (en) * | 2020-12-29 | 2022-10-18 | 浙江想能睡眠科技股份有限公司 | Intelligent mattress with multidirectional moving cushion blocks and adjusting method thereof |
| CN113855431B (en) * | 2021-11-02 | 2023-02-10 | 毕威泰克(浙江)医疗器械有限公司 | Bedsore prevention adjusting and monitoring system and method |
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