CN111413125A - Mattress hardness detection method and intelligent mattress - Google Patents
Mattress hardness detection method and intelligent mattress Download PDFInfo
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- CN111413125A CN111413125A CN202010264255.4A CN202010264255A CN111413125A CN 111413125 A CN111413125 A CN 111413125A CN 202010264255 A CN202010264255 A CN 202010264255A CN 111413125 A CN111413125 A CN 111413125A
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- hardness
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
- G01M99/001—Testing of furniture, e.g. seats or mattresses
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C27/00—Spring, stuffed or fluid mattresses or cushions specially adapted for chairs, beds or sofas
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C31/00—Details or accessories for chairs, beds, or the like, not provided for in other groups of this subclass, e.g. upholstery fasteners, mattress protectors, stretching devices for mattress nets
- A47C31/12—Means, e.g. measuring means for adapting chairs, beds or mattresses to the shape or weight of persons
- A47C31/123—Means, e.g. measuring means for adapting chairs, beds or mattresses to the shape or weight of persons for beds or mattresses
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Abstract
The application provides a method for detecting the hardness of a mattress and an intelligent mattress, wherein the method is applied to the intelligent mattress and comprises the steps of obtaining the body quality index, the physiological characteristics and the sleeping posture of a human body; and calculating the hardness of the mattress according to a preset hardness calculation formula. Through the mode, the soft hardness value suitable for the current user using the intelligent mattress can be obtained.
Description
Technical Field
The application relates to the technical field of mattresses, in particular to a mattress hardness and softness detection method and an intelligent mattress.
Background
With the continuous improvement of living standard, more and more people pay attention to the sleep quality, and the hardness of the mattress is an important factor influencing the sleep quality. People of different ages have different requirements on the hardness of the mattress, and people of different sexes have different suitable hardness of the mattress
The inventor of the application finds that the hardness of the existing mattress is always constant or is selected according to the preference of a user. However, the hardness of the mattress suitable for different sexes and ages is different, if the user lies on the mattress with improper hardness for a long time, the user can be damaged to a certain extent, and the economic cost is high if the user wants to replace the mattress with different hardness.
Disclosure of Invention
The application provides a mattress hardness and softness detection method and an intelligent mattress, and aims to solve the problem that in the prior art, mattress hardness and softness are not suitable for users.
In order to solve the technical problem, the application adopts a technical scheme that: the method for detecting the hardness of the mattress is applied to the intelligent mattress, and comprises the following steps:
acquiring body quality index, physiological characteristics and sleeping posture of a human body;
and calculating the hardness of the mattress according to a preset hardness calculation formula.
In order to solve the above technical problem, another technical solution adopted by the present application is: there is provided a smart mattress, wherein the mattress comprises a processor and a memory coupled to each other, the memory being adapted to store a computer program, the processor being adapted to load and execute the computer program.
The beneficial effect of this application is: the method is applied to the intelligent mattress and comprises the steps of obtaining body quality index, physiological characteristics and sleeping posture of a human body; and calculating the hardness of the mattress according to a preset hardness calculation formula. The hardness value suitable for the user using the intelligent mattress at present can be obtained by calculating several parameters of the body quality index, the physiological characteristics and the sleeping posture of the human body according to a preset calculation method, and the problem that the hardness of the mattress is not suitable for the user in the prior art is solved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the application, the drawings that are needed to be used in the description of the embodiments are briefly introduced below, it is obvious that the drawings in the following description are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without inventive efforts, wherein:
FIG. 1 is a schematic flow chart illustrating an embodiment of a method for detecting the hardness of a mattress according to the present invention;
FIG. 2 is a schematic flow chart illustrating another embodiment of a method for detecting the softness and hardness of a mattress according to the present application;
fig. 3 is a schematic structural diagram of an embodiment of the intelligent mattress.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any inventive step based on the embodiments in the present application, are within the scope of protection of the present application.
It should be noted that if directional indications (such as up, down, left, right, front, and back … …) are referred to in the embodiments of the present application, the directional indications are only used to explain the relative positional relationship between the components, the movement situation, and the like in a specific posture (as shown in the drawings), and if the specific posture is changed, the directional indications are changed accordingly.
In addition, if there is a description of "first", "second", etc. in the embodiments of the present application, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present application.
Referring to fig. 1, fig. 1 is a schematic flow chart of an embodiment of a method for detecting the hardness of a mattress according to the present application. The method disclosed by the embodiment is applied to the intelligent mattress, and the detection method specifically comprises the following steps:
s11: the body quality index, the physiological characteristics and the sleeping posture of the human body are obtained.
Body Mass Index (BMI) is an important international standard for determining the degree of obesity and health of a human Body.
The sleeping postures of the people not only can influence the development of the people, but also can influence the everyday sleeping of the people, so that the pressure on the mattress is different according to the different sleeping postures of the people, and correspondingly, the hardness of the healthy mattress is different.
When the user uses the intelligent mattress, the user sends relevant parameters related to the body quality index, the physiological characteristics and the sleeping posture of the user to the intelligent mattress, for example, the relevant parameters can be sent through a mobile terminal remotely connected with the intelligent mattress, wherein the mobile terminal can be a mobile phone, a computer, a tablet personal computer, a wearable device, an intelligent mattress remote control device and the like, or the parameters can be directly input through a control panel on the intelligent mattress to fill in necessary information, so that the intelligent mattress can obtain the body quality index, the physiological characteristics and the sleeping posture of a human body to be laid on the intelligent mattress.
S12: and calculating the hardness of the mattress according to a preset hardness calculation formula.
A calculation formula for calculating the hardness of the human body is preset in the intelligent mattress, the hardness of the mattress suitable for the human body can be obtained through the body quality index, the physiological characteristics and the sleeping posture information, and the hardness of an air cushion of the intelligent mattress is adjusted by the intelligent mattress according to the calculated hardness.
The application provides a method for detecting the hardness of a mattress, which is applied to an intelligent mattress and comprises the steps of obtaining the body quality index, the physiological characteristics and the sleeping posture of a human body; and calculating the hardness of the mattress according to a preset hardness calculation formula. The hardness value suitable for the current user using the intelligent mattress can be obtained by calculating the parameters of the body quality index, the physiological characteristics and the sleeping posture of the human body according to a preset calculation method, the health of the user is ensured, the use of different types of users can be met, the mattress is prevented from being replaced, the economic cost is reduced, and the user experience is good.
Referring to fig. 2, fig. 2 is a schematic flow chart of another embodiment of a method for detecting the hardness of a mattress according to the present application. On the basis of the above embodiment, the detection method specifically includes the following steps:
s21: the body quality index, the physiological characteristics and the sleeping posture of the human body are obtained.
When the intelligent mattress obtains the body quality index, the physiological characteristics and the sleeping posture of the human body, the values of the hardness and the softness corresponding to the parameters are obtained.
In a specific embodiment, the step of obtaining the hardness and hardness value corresponding to the body mass index by the smart mattress may include the following steps S211 to S213:
s211: and acquiring the height and the weight of the human body.
S212: and obtaining the body quality index of the human body according to a body quality index formula.
S213: and acquiring the hardness of the suggested sleep corresponding to the body quality index.
Steps S211 to S213 will be explained together as follows:
the body mass index obtains a relatively objective parameter through two values of the height and the weight of a human body, and the body mass is measured by using the range of the parameter.
BMI is the square of weight/height (international units kg/m)2)
Ideal BMI (18.5-23.9) weight (Kg) height squared (m) is determined by the world health organization, and asian BMI is overweight above 22.9. Asian and European are different races, the WHO standard is not very suitable for the situation of Chinese, and Chinese reference standards are established for the situation, and are specifically shown in the table I:
watch 1
According to different body quality indexes, the pressure of the mattress and the supporting point of the mattress on the body are different, and the soft and hard requirements of the required mattress are different. After the user can select the self-reference standard, the classification corresponding to the body quality index of the user and the corresponding suggested sleep hardness and softness are obtained.
In a specific embodiment, the step of obtaining the soft hardness value corresponding to the physiological characteristic by the smart mattress may include the following steps S214 to S215:
s214: and acquiring the age and sex of the human body.
People of different sexes and ages have different requirements on the hardness of the mattress, so that the physiological characteristics of the human body at least comprise the age and the sex, and the intelligent mattress obtains the two physiological characteristics of the age and the sex.
S215: and obtaining a first adjustment hardness corresponding to the physiological characteristics according to the age and the gender.
Obtaining a corresponding age grade according to the age; and acquiring first adjustment hardness and softness corresponding to the age grade and the gender.
Specifically, the ages were divided into different age classes, and the first hardness-adjusted hardness was obtained for each age class for different sexes in combination with the gender, as shown in table two.
Watch two
In a specific embodiment, the age classes include at least a first age class, a second age class, a third age class and a fourth age class which are sequentially increased, and the first adjustment hardness and softness corresponding to the first age class and the fourth age class are greater than the first adjustment hardness and softness corresponding to the second age class and the third age class.
For example, in Table two, the first age is 3 to 6 years, the second age is 6 to 40 years, the third age is 40 to 60 years, and the fourth age is 60 years or more.
The relatively hard mattress can well support the body curves of young and old people, so that the first adjustment hardness corresponding to the first age grade and the fourth age grade is greater than the first adjustment hardness corresponding to the second age grade and the third age grade.
In one embodiment, the gender includes male and female, and the female is relatively more suitable for a softer mattress than the male, such that the first adjusted firmness for the male is greater than the first adjusted firmness for the female for the same age scale.
In one embodiment, the sleeping positions include three positions of lying, lying on one side and lying on the stomach; the step S216 of acquiring the soft hardness value corresponding to the sleeping posture by the smart mattress may include:
s216: and acquiring a second adjustment hardness corresponding to the sleeping posture.
For example, the relationship of sleeping position to second adjusted firmness may be as shown in table three.
Watch III
| Sleeping posture | Lying down | Lying on side | Lying on stomach |
| Second adjustment of hardness | +0 | -15 | -10 |
The lateral pressure area is small, the pressure is increased, and the lateral pressure area is suitable for being supported well only by being soft; the patient is in a prone sleeping position, the chest is squeezed, the hardness is reduced, and the chest squeezing can be relieved; the stress area is uniform when the user lies flat and the hardness is moderate. Namely, the hardness of the second adjustment corresponding to lying, lying on side and lying prone are reduced in sequence.
S22: and calculating the hardness of the mattress according to a preset hardness calculation formula.
The hardness of the mattress is equal to the sum of the body quality index, the physiological characteristic and the hardness value corresponding to the sleeping posture, namely the preset hardness calculation formula is that the hardness of the mattress is equal to the sum of the recommended sleeping hardness, the first adjustment hardness and the second adjustment hardness.
After the value of the hardness of the mattress is obtained, the hardness of the mattress of the hardware structure is adjusted by the intelligent mattress.
The application provides a method for detecting the hardness of a mattress, which is applied to an intelligent mattress, and comprises the steps of obtaining the height and the weight of a human body to obtain a body mass index, and obtaining the hardness of a suggested sleep corresponding to the body mass index: acquiring the age and the sex of a human body to obtain physiological characteristics, and acquiring first adjustment hardness and softness corresponding to the physiological characteristics according to the age and the sex; acquiring a second adjustment hardness corresponding to the sleeping posture; and calculating the hardness of the mattress according to a preset hardness calculation formula, the suggested sleep hardness, the first adjusted hardness and the second adjusted hardness. Through several parameters of height, weight, age, gender and sleeping posture, the suggested sleeping hardness, the first adjusting hardness and the second adjusting hardness are obtained, and the calculation is carried out according to a preset calculation method, so that the hardness value suitable for the current user using the intelligent mattress can be obtained, the body health of the user is ensured, the use of different types of users can be met, the replacement of the mattress is avoided, the economic cost is reduced, and the user experience is good.
In response to the above method, the present application provides an intelligent mattress, please refer to fig. 3, and fig. 3 is a schematic structural diagram of an embodiment of the intelligent mattress of the present application. The smart mattress 100 disclosed in the present application comprises a memory 12 and a processor 14 coupled to each other, wherein the memory 12 is used for storing a computer program, and the processor 14 is used for executing the computer program to implement the steps of the method according to any one of the above embodiments.
Specifically, processor 14 is configured to:
the body quality index, the physiological characteristics and the sleeping posture of the human body are obtained.
And calculating the hardness of the mattress according to a preset hardness calculation formula.
The smart mattress 100 of the present embodiment can obtain a soft hardness value suitable for a user currently using the smart mattress.
The above embodiments are merely examples and are not intended to limit the scope of the present disclosure, and all modifications, equivalents, and flow charts using the contents of the specification and drawings of the present disclosure or those directly or indirectly applied to other related technical fields are intended to be included in the scope of the present disclosure.
Claims (10)
1. A detection method for hardness of a mattress is applied to an intelligent mattress, and is characterized by comprising the following steps:
acquiring body quality index, physiological characteristics and sleeping posture of a human body;
and calculating the hardness of the mattress according to a preset hardness calculation formula.
2. The method of claim 1, wherein the step of obtaining the body mass index, the physiological characteristic and the sleeping posture of the human body comprises:
acquiring the height and the weight of the human body;
obtaining the body quality index of the human body according to a body quality index formula;
and acquiring the hardness of the suggested sleep corresponding to the body quality index.
3. The method of claim 1, wherein the step of obtaining the body mass index, the physiological characteristic and the sleeping posture of the human body comprises:
acquiring the age and sex of the human body;
and obtaining a first adjustment hardness and softness corresponding to the physiological characteristics according to the age and the gender.
4. The method of claim 3, wherein the step of deriving a first adjusted softness or hardness corresponding to the physiological characteristic based on the age and the gender comprises:
obtaining a corresponding age grade according to the age;
and acquiring the first adjustment hardness and softness corresponding to the age grade and the gender.
5. The method of claim 4, wherein said age grades comprise at least a first age grade, a second age grade, a third age grade, and a fourth age grade that increase in sequence, said first adjusted firmness to said first age grade and said fourth age grade being greater than said first adjusted firmness to said second age grade and said third age grade.
6. The method of claim 5, wherein said gender comprises a male and a female, and the step of obtaining said first adjusted softness corresponding to said age rating and said gender comprises:
in the same age class, the first adjusted hardness and softness corresponding to the male is greater than the first adjusted hardness and softness corresponding to the female.
7. The method of claim 1, wherein the sleeping positions include lying flat, lying on side, and lying prone.
8. The method of claim 7, wherein the step of obtaining the body mass index, the physiological characteristic and the sleeping posture of the human body comprises:
acquiring a second adjustment hardness corresponding to the sleeping posture; wherein the second adjustment hardness of the lying, the side lying and the prostrate are reduced in sequence.
9. The method of claim 1, wherein the step of calculating the softness of the mattress according to a predetermined softness calculation formula comprises:
the hardness of the mattress is equal to the sum of the body mass index, the physiological characteristic and the hardness value corresponding to the sleeping posture.
10. An intelligent mattress, characterized in that the mattress comprises a processor and a memory coupled to each other, the memory being adapted to store a computer program, the processor being adapted to load the computer program and to execute it.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010264255.4A CN111413125A (en) | 2020-04-07 | 2020-04-07 | Mattress hardness detection method and intelligent mattress |
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| CN202010264255.4A CN111413125A (en) | 2020-04-07 | 2020-04-07 | Mattress hardness detection method and intelligent mattress |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112190066A (en) * | 2020-10-14 | 2021-01-08 | 珠海格力电器股份有限公司 | Mattress control method and device and mattress |
| CN112733038A (en) * | 2021-01-25 | 2021-04-30 | 嘉兴上善若水品牌管理合伙企业(有限合伙) | Sleep mattress hardness grade and pillow height recommendation method based on human body shape and posture |
| CN112869995A (en) * | 2021-03-31 | 2021-06-01 | 慕思健康睡眠股份有限公司 | Massage bed and massage adjusting method |
| CN113951674A (en) * | 2021-09-27 | 2022-01-21 | 杭州顾家寝具有限公司 | Control method of intelligent mattress, system and storage medium |
| CN114675553A (en) * | 2022-03-22 | 2022-06-28 | 慕思健康睡眠股份有限公司 | Control method, device, equipment and medium for intelligent home system |
| CN115248856A (en) * | 2022-01-25 | 2022-10-28 | 王程 | Cross-chain data retrieval system based on block chain |
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| TW201325507A (en) * | 2011-12-26 | 2013-07-01 | Sleep Solutions Ltd | Mattress suitable test system and test method thereof |
| CN105159166A (en) * | 2015-08-17 | 2015-12-16 | 小米科技有限责任公司 | Adjustment method of cushion body, adjustment device of cushion body and terminal |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112190066A (en) * | 2020-10-14 | 2021-01-08 | 珠海格力电器股份有限公司 | Mattress control method and device and mattress |
| CN112733038A (en) * | 2021-01-25 | 2021-04-30 | 嘉兴上善若水品牌管理合伙企业(有限合伙) | Sleep mattress hardness grade and pillow height recommendation method based on human body shape and posture |
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| CN112869995A (en) * | 2021-03-31 | 2021-06-01 | 慕思健康睡眠股份有限公司 | Massage bed and massage adjusting method |
| CN113951674A (en) * | 2021-09-27 | 2022-01-21 | 杭州顾家寝具有限公司 | Control method of intelligent mattress, system and storage medium |
| CN115248856A (en) * | 2022-01-25 | 2022-10-28 | 王程 | Cross-chain data retrieval system based on block chain |
| CN114675553A (en) * | 2022-03-22 | 2022-06-28 | 慕思健康睡眠股份有限公司 | Control method, device, equipment and medium for intelligent home system |
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