Method and device for mattress adjustment evaluation, mattress and computer readable storage medium

Abstract

The invention relates to the technical field of intelligent household appliances, and discloses a method for mattress adjustment evaluation, which comprises the following steps: acquiring pressure distribution data of a user on a mattress before and after mattress adjustment; determining the supporting optimization degree of the mattress to the user and the fitting optimization degree between the mattress and the user according to the pressure distribution data before and after the mattress is adjusted; according to the support optimization degree and the fitting optimization degree, evaluating the improvement effect of the comfort degree after the mattress is adjusted. Thus, the supporting optimization degree and the fitting optimization degree corresponding to mattress adjustment are determined according to the pressure distribution data before and after mattress adjustment in the actual application process, so that the comfort improvement effect after mattress adjustment is determined, the comfort of the mattress can be evaluated from more dimensions, the accuracy of mattress comfort evaluation can be improved, and the comfort evaluation efficiency of the mattress is improved. Therefore, the influence of mattress adjustment on the comfort level can be determined more accurately. The invention further discloses a device for mattress adjustment evaluation, the mattress and a computer readable storage medium.

Description

Technical Field

[0001] The present application relates to the technical field of smart home appliances, and for example, to a method, device, mattress, and computer-readable storage medium for mattress adjustment evaluation. Background Art

[0002] As people's requirements for sleep quality gradually increase, mattresses are gradually developing in the direction of intelligence. At present, some smart mattresses can be passively or actively adjusted to meet the personalized sleep needs of users. However, the comfort of smart mattresses can often only be evaluated subjectively by users, and there is a lack of objective evaluation standards, which makes it impossible to determine the effect of mattress adjustment.

[0003] In order to provide an objective evaluation standard, a method for evaluating mattress pressure distribution is provided in the related art, including: collecting pressure data from various locations on the mattress; calculating the average value of the sensed pressure data based on the pressure data; and determining the mattress comfort level mapped to the average value of the pressure data based on a preset mapping relationship.

[0004] In the process of implementing the embodiments of the present disclosure, it is found that there are at least the following problems in the related art:

[0005] Although the relevant technology provides a more objective evaluation standard, the average value of the pressure data on the mattress is used as the evaluation standard, which is too single-dimensional and cannot accurately reflect the changes in the comfort of the mattress.

[0006] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present application, and therefore may include information that does not constitute the prior art known to ordinary technicians in the field. Summary of the invention

[0007] In order to provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. The summary is not an extensive review, nor is it intended to identify key / critical components or delineate the scope of protection of these embodiments, but rather serves as a prelude to the detailed description that follows.

[0008] The embodiments of the present disclosure provide a method, an apparatus, a mattress, and a computer-readable storage medium for evaluating mattress adjustment, so as to more accurately evaluate the impact of mattress adjustment on comfort.

[0009] In some embodiments, the method includes: obtaining pressure distribution data of the user on the mattress before and after the mattress is adjusted; determining the support optimization degree of the mattress for the user and the fit optimization degree between the mattress and the user through the pressure distribution data before and after the mattress is adjusted; and evaluating the effect of improving comfort after the mattress is adjusted based on the support optimization degree and the fit optimization degree.

[0010] Optionally, the support optimization degree includes the support area improvement degree, and the support optimization degree of the mattress for the user is determined by the pressure distribution data before and after the mattress is adjusted, including: determining a first contact area between the mattress and the user by the pressure distribution data before the mattress is adjusted, and determining a second contact area between the mattress and the user by the pressure distribution data after the mattress is adjusted; determining the support area improvement degree of the mattress adjustment for the human body based on the first contact area and the second contact area.

[0011] Optionally, determining a first contact area between the mattress and the user through pressure distribution data before the mattress is adjusted includes: determining an area on the mattress where the pressure is greater than a first pressure threshold according to the pressure distribution data before the mattress is adjusted, recorded as the first area; and determining the area of ​​the first area as the first contact area between the mattress and the user.

[0012] Optionally, after determining an area on the mattress where the pressure is greater than a first pressure threshold according to the pressure distribution data before the mattress is adjusted, the method for mattress adjustment evaluation further includes: acquiring a temperature of the mattress surface corresponding to the first area; and correcting the first area according to the temperature.

[0013] Optionally, correcting the first area according to the temperature includes: determining an area whose temperature is less than a first temperature threshold according to the temperature of the mattress surface; and removing the area from the first area.

[0014] Optionally, the support optimization degree includes the support optimization degree of the target area, and the support optimization degree of the mattress for the user is determined by the pressure distribution data before and after adjustment of the mattress, including: determining the first target area before adjustment and the second target area after adjustment according to the pressure distribution data before and after adjustment; determining the area of ​​the first target area where the pressure is greater than the second pressure threshold and less than the third pressure threshold as the first support area, and determining the area of ​​the second target area where the pressure is greater than the second pressure threshold and less than the third pressure threshold as the second support area; determining the target area support optimization degree according to the first support area and the second support area.

[0015] Optionally, the support optimization degree includes the support uniformity optimization degree, and the support optimization degree of the mattress for the user is determined by the pressure distribution data before and after the mattress is adjusted, including: determining the pressure corresponding to each body area according to the pressure distribution data before and after the mattress is adjusted; calculating the first coefficient of variation of the pressure corresponding to each body area before the mattress is adjusted, and the second coefficient of variation of the pressure corresponding to each body area after the mattress is adjusted; determining the support uniformity improvement degree according to the first coefficient of variation and the second coefficient of variation.

[0016] Optionally, calculating a first coefficient of variation of pressures corresponding to each body region before the mattress is adjusted includes: calculating a first average value and a first standard deviation of pressures corresponding to each body region before the mattress is adjusted; and determining a first coefficient of variation based on the first average value and the first standard deviation.

[0017] Optionally, the degree of optimal fit between the mattress and the user is determined through pressure distribution data before and after adjustment of the mattress, including: determining the pressure distribution of the body area on the mattress before and after adjustment based on the pressure distribution data; comparing the pressure distribution of the body area on the mattress before and after adjustment with the target pressure distribution relationship to determine the degree of optimal fit between the mattress and the user.

[0018] Optionally, according to the pressure distribution data, the pressure distribution of the body area on the mattress before and after the adjustment is determined respectively, including: determining the pressure value corresponding to the body area according to the pressure distribution data; determining the proportion of the pressure value corresponding to the body area according to the pressure value corresponding to the body area.

[0019] In some embodiments, the apparatus comprises a processor and a memory storing program instructions, and the processor is configured to execute the above-mentioned method for mattress adjustment evaluation when running the program instructions.

[0020] In some embodiments, the mattress includes: a mattress body; and the above-mentioned device for mattress adjustment evaluation, which is installed on the mattress body.

[0021] In some embodiments, the computer-readable storage medium stores program instructions, which, when executed, are used to cause a computer to perform the above-mentioned method for mattress adjustment evaluation.

[0022] The method, device, mattress and computer-readable storage medium for mattress adjustment evaluation provided by the embodiments of the present disclosure can achieve the following technical effects:

[0023] When the mattress is adjusted, the pressure distribution data of the user on the mattress before and after the mattress adjustment is obtained to determine the support optimization degree of the mattress for the user and the fit optimization degree between the mattress and the user, and jointly evaluate the effect of the mattress adjustment on improving comfort. In this way, the support optimization degree and fit optimization degree corresponding to the mattress adjustment are determined according to the pressure distribution data before and after the mattress adjustment in the actual application process, so as to determine the improvement effect of the comfort after the mattress adjustment, and the comfort of the mattress can be evaluated from more dimensions, which is conducive to improving the accuracy of the mattress comfort evaluation, thereby more accurately determining the impact of the mattress adjustment on comfort.

[0024] The above general description and the following description are exemplary and explanatory only and are not intended to limit the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] One or more embodiments are exemplarily described by corresponding drawings, which do not limit the embodiments. Elements with the same reference numerals in the drawings are shown as similar elements, and the drawings do not constitute a scale limitation, and wherein:

[0026] Figure 1 is a schematic diagram of a method for mattress adjustment evaluation provided by an embodiment of the present disclosure;

[0027] Figure 2 is a schematic diagram of another method for mattress adjustment evaluation provided by an embodiment of the present disclosure;

[0028] Figure 3 is a schematic diagram of another method for mattress adjustment evaluation provided by an embodiment of the present disclosure;

[0029] Figure 4 is a schematic diagram of another method for mattress adjustment evaluation provided by an embodiment of the present disclosure;

[0030] Figure 5 is a schematic diagram of another method for mattress adjustment evaluation provided by an embodiment of the present disclosure;

[0031] Figure 6 is a schematic diagram of a device for mattress adjustment evaluation provided by an embodiment of the present disclosure;

[0032] Figure 7 It is a schematic diagram of a mattress provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0033] In order to be able to understand the features and technical contents of the embodiments of the present disclosure in more detail, the implementation of the embodiments of the present disclosure is described in detail below in conjunction with the accompanying drawings. The attached drawings are for reference only and are not used to limit the embodiments of the present disclosure. In the following technical description, for the convenience of explanation, a full understanding of the disclosed embodiments is provided through multiple details. However, one or more embodiments can still be implemented without these details. In other cases, to simplify the drawings, well-known structures and devices can be simplified for display.

[0034] The terms "first", "second", etc. in the specification and claims of the embodiments of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchanged where appropriate, so that the embodiments of the embodiments of the present disclosure described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions.

[0035] Unless otherwise stated, the term "plurality" means two or more.

[0036] In the embodiment of the present disclosure, the character " / " indicates that the preceding and following objects are in an "or" relationship. For example, A / B indicates: A or B.

[0037] The term "and / or" is a description of the association relationship between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or, A and B.

[0038] The term "correspondence" may refer to an association relationship or a binding relationship. The correspondence between A and B means that there is an association relationship or a binding relationship between A and B.

[0039] Figure 1 The embodiment of the present disclosure provides a method for mattress adjustment evaluation. The method for mattress adjustment evaluation can be executed in a mattress processor with information processing function, or in a mattress control terminal; or in a server or other intelligent terminal device. In the embodiment of the present disclosure, the solution is described with the mattress processor as the execution subject.

[0040] Combination Figure 1 As shown, the method for mattress adjustment evaluation includes:

[0041] S101, the processor obtains pressure distribution data of the user on the mattress before and after the mattress is adjusted.

[0042] Here, the processor obtains the pressure distribution data of the user on the mattress through the pressure detection device. The pressure detection device includes a plurality of pressure sensors, such as piezoelectric film sensors. The plurality of pressure sensors are arranged in an array, and the pressure data detected by the pressure sensors can be used to determine the pressure at various locations on the mattress. A pressure heat map can be further formed based on the pressure at various locations on the mattress to more intuitively and accurately determine the pressure distribution on the mattress.

[0043] The pressure sensing device is in the form of a thin pad. In some embodiments, the pressure sensing device is provided as a separate device from the mattress and is placed between the user and the mattress when in use. While being able to accurately detect the pressure distribution data of the user on the mattress, it has high flexibility and can be applied to other mattresses. In some embodiments, the pressure sensor belongs to the mattress and is provided on the inner side or outer side of the upper surface of the mattress, or is provided in the area inside the mattress near the upper surface of the mattress.

[0044] S102, the processor determines the optimal support degree of the mattress for the user and the optimal fit degree between the mattress and the user through the pressure distribution data before and after the mattress is adjusted.

[0045] S103: The processor evaluates the effect of improving the comfort of the mattress after adjustment according to the support optimization degree and the fit optimization degree.

[0046] By using the method for mattress adjustment evaluation provided by the embodiment of the present disclosure, when the mattress is adjusted, the pressure distribution data of the user on the mattress before and after the mattress adjustment is obtained, so as to determine the support optimization degree of the mattress for the user and the fit optimization degree between the mattress and the user, and jointly evaluate the effect of the mattress adjustment on improving comfort. In this way, the support optimization degree and fit optimization degree corresponding to the mattress adjustment are determined according to the pressure distribution data before and after the mattress adjustment in the actual application process, so as to determine the improvement effect of the comfort after the mattress adjustment, and the comfort of the mattress can be evaluated from more dimensions, which is conducive to improving the accuracy of the mattress comfort evaluation, thereby more accurately determining the impact of the mattress adjustment on comfort.

[0047] Optionally, the support optimization degree includes part or all of the support area improvement degree, the target area support optimization degree, and the support uniformity optimization degree.

[0048] Optionally, the processor evaluates the improvement effect of the comfort after the mattress is adjusted according to the support optimization degree and the fit optimization degree, including: the processor establishes a mapping relationship between the support optimization degree, the fit optimization degree and the improvement effect evaluation, and determines the mapped improvement effect evaluation according to the currently obtained support optimization degree and fit optimization degree.

[0049] Optionally, the processor evaluates the improvement effect of the comfort of the mattress after adjustment based on the support uniformity and the fit optimization degree, including: the processor calculates the weighted average of the support uniformity and the fit optimization degree to evaluate the improvement effect of the comfort of the mattress after adjustment.

[0050] Optionally, the weighted weight is determined by the processor obtaining the user identity and determining the weighted weight according to the user identity. In this way, different weighting methods are determined for users with different identities to ensure that the output data can more accurately reflect the impact of the mattress adjustment on the current user.

[0051] Optionally, the processor obtains the user identity and determines the weighted weight according to the user identity, including: the processor obtains the user's BMI (Body Mass Index), and when the user's BMI is greater than an upper threshold, the processor determines that the user is an overweight user and increases the weight of the target area support optimization degree. The upper threshold is, for example, 23.9 kg / m 2 .

[0052] Optionally, the processor obtains the user identity and determines the weighted weight according to the user identity, including: the processor obtains the user's BMI, and when the user's BMI is less than a lower limit threshold, the processor determines that the user is too thin and increases the weight of the target area support optimization degree. The lower limit threshold is, for example, 18.5 kg / m 2 .

[0053] Optionally, the processor obtains the user identity and determines the weighted weight according to the user identity, including: when the user identity is a user suffering from a specific disease, the processor increases the weight of the target area support optimization degree. The specific disease here is a related disease that requires protection or special attention to a specific body part of the user.

[0054] Optionally, after the processor determines the support optimization degree of the mattress for the user and the fit optimization degree between the mattress and the user through the pressure distribution data before and after the mattress is adjusted, the method for mattress adjustment evaluation further includes: the processor displays the support optimization degree and the fit optimization degree through a display device. In this way, it is convenient for the user or relevant staff to intuitively see the changes brought about by the mattress adjustment.

[0055] Optionally, after the processor determines the support optimization degree of the mattress for the user and the fit optimization degree between the mattress and the user through the pressure distribution data before and after the mattress is adjusted, the method for mattress adjustment evaluation further includes: the processor determines a subsequent adjustment strategy according to the support optimization degree and the fit optimization degree. More specifically, in the subsequent adjustment, the adjustment operation that can improve the parameter with a lower value among the support optimization degree and the fit optimization degree is preferentially selected.

[0056] When support optimization includes support area improvement, combined Figure 2 As shown, the embodiment of the present disclosure provides another method for mattress adjustment evaluation, comprising:

[0057] S201, the processor obtains pressure distribution data of the user on the mattress before and after the mattress is adjusted.

[0058] S202: The processor determines a first contact area between the mattress and the user based on the pressure distribution data before the mattress is adjusted, and determines a second contact area between the mattress and the user based on the pressure distribution data after the mattress is adjusted.

[0059] S203: The processor determines the degree of improvement of the support area of ​​the mattress for the human body according to the first contact area and the second contact area.

[0060] S204: The processor determines the degree of optimal fit between the mattress and the user through the pressure distribution data before and after the mattress is adjusted.

[0061] S205: The processor evaluates the effect of improving the comfort of the mattress after adjustment according to the support area improvement and the fit optimization.

[0062] In this way, the increase in support area brought about by mattress adjustment can be determined through changes in the contact area, which is helpful in reflecting the effect of mattress adjustment on improving comfort.

[0063] Optionally, the processor determines the first contact area between the mattress and the user through the pressure distribution data before the mattress is adjusted, including: the processor determines the area on the mattress where the pressure is greater than the first pressure threshold according to the pressure distribution data before the mattress is adjusted, recorded as the first area, and determines the area of ​​the first area as the first contact area between the mattress and the user. Among them, the first pressure threshold is greater than or equal to 0. The first pressure threshold is determined according to actual conditions. When the pressure detection device is located on the upper surface of the mattress and directly contacts the user, it can be directly set to 0, or a value close to 0. If the pressure detection device is not set on the upper surface of the mattress, but is set on the inner side of the upper surface of the mattress, and there is a certain obstruction between the user, the first pressure threshold is greater than 0 to balance the influence of this partial obstruction on the pressure detection. In this way, the contact area between the mattress and the user before adjustment can be more accurately determined, so as to accurately calculate the support area increase degree later.

[0064] Optionally, after the processor determines an area on the mattress where the pressure is greater than a first pressure threshold based on the pressure distribution data before the mattress is adjusted, the method for mattress adjustment evaluation further includes: the processor obtains a temperature of the mattress surface corresponding to the first area, and corrects the first area based on the temperature.

[0065] Optionally, the processor corrects the first area according to the temperature, including: the processor determines an area whose temperature is less than a first temperature threshold according to the temperature of the mattress surface, and removes the area from the first area. The first temperature threshold is greater than the indoor ambient temperature and less than or equal to the user's body surface temperature. In this way, by screening by temperature, it is possible to avoid misjudging objects placed on the mattress as users, thereby improving the accuracy of the contact area between the mattress and the user, thereby improving the accuracy of the support area lift calculation.

[0066] Optionally, the processor determines the first contact area between the mattress and the user through the pressure distribution data after the mattress is adjusted, including: the processor determines the area on the mattress where the pressure is greater than the first pressure threshold according to the pressure distribution data after the mattress is adjusted, records it as the second area, and determines the area of ​​the second area as the second contact area between the mattress and the user. The first pressure threshold is greater than or equal to 0. In this way, the contact area between the mattress and the user after the adjustment can be accurately determined, so as to accurately calculate the support area increase degree later.

[0067] Optionally, after the processor determines an area on the mattress where the pressure is greater than a first pressure threshold based on the pressure distribution data after the mattress is adjusted, the method for mattress adjustment evaluation further includes: the processor obtains a temperature of the mattress surface corresponding to a second area, and corrects the second area based on the temperature.

[0068] Optionally, the processor corrects the second area according to the temperature, including: the processor determines an area whose temperature is less than a first temperature threshold according to the temperature of the mattress surface, and removes the area from the second area. The first temperature threshold is greater than the indoor ambient temperature and less than or equal to the user's body surface temperature. In this way, by screening by temperature, it is possible to avoid misjudging objects placed on the mattress as users, thereby improving the accuracy of the contact area between the mattress and the user, thereby improving the accuracy of the support area lift calculation.

[0069] Optionally, the processor determines the degree of improvement of the support area of ​​the human body caused by the mattress adjustment according to the first contact area and the second contact area, including: the processor calculates the degree of improvement of the support area:

[0070]

[0071] Among them, S 11 is the first contact area, S 12 is the second contact area.

[0072] When the support optimization includes the target area support optimization, combined Figure 3 As shown, the embodiment of the present disclosure provides another method for mattress adjustment evaluation, comprising:

[0073] S301, the processor obtains pressure distribution data of the user on the mattress before and after the mattress is adjusted.

[0074] S302: The processor determines a first target area before adjustment and a second target area after adjustment according to the pressure distribution data before and after adjustment.

[0075] S303, the processor determines that the area of ​​the first target region where the pressure is greater than the second pressure threshold and less than the third pressure threshold is the first support area, and determines that the area of ​​the second target region where the pressure is greater than the second pressure threshold and less than the third pressure threshold is the second support area.

[0076] The second pressure threshold is greater than the first pressure threshold, and the third pressure threshold is greater than the second pressure threshold. The second pressure threshold is, for example, 10 mmHg, and the third pressure threshold is, for example, 20 mmHg.

[0077] S304: The processor determines a target area support optimization degree according to the first support area and the second support area.

[0078] S305: The processor determines the degree of optimal fit between the mattress and the user through the pressure distribution data before and after the mattress is adjusted.

[0079] S306: The processor evaluates the effect of improving the comfort of the mattress after adjustment according to the support optimization degree and the fit optimization degree of the target area.

[0080] In this way, the support optimization degree of the target area brought about by the mattress adjustment can be determined based on the pressure distribution data, thereby more accurately evaluating the improvement effect of the comfort after the mattress adjustment.

[0081] Optionally, the method for determining the target area includes: a processor determining a user identity, and determining the target area according to the user identity.

[0082] Optionally, the processor determines the target area according to the user identity, including: when the user identity is an ordinary user, the processor determines the target area to be the neck and waist area.

[0083] Optionally, the processor determines the target area according to the identity of the user, including: when the user is a pregnant woman, the processor determines the target area to be the neck area.

[0084] Optionally, the processor determines the target area according to the user's identity, including: when the user's identity is a user suffering from a specific disease, the processor determines the body area corresponding to the specific disease suffered by the user as the target area. For example, if the user suffers from a waist disease, the user's waist can be determined as the target area, focusing on the support condition of the area, so as to more accurately determine the actual improvement of the user's comfort caused by the mattress adjustment.

[0085] Optionally, the processor determines the target area support optimization degree according to the first support area and the second support area, including: the processor calculates the target area support optimization degree as:

[0086]

[0087] Among them, S 21 is the first support area, S 22 is the second supporting area.

[0088] Before the processor determines the first target area before adjustment and the second target area after adjustment according to the pressure distribution data before and after adjustment, it is necessary to first determine the positions of various body areas.

[0089] In some embodiments, the processor determines a user profile based on the pressure distribution data, and determines each body region based on the user profile and a correspondence between a preset profile and the body region.

[0090] In some embodiments, the processor determines the orientation of the human body according to the pressure distribution data, and further determines the body area according to the orientation of the human body and the pressure distribution data. Specifically, the processor determines that the direction with greater pressure is the head direction, and the direction with less pressure is the leg direction. The head area and the leg area are determined by integrating the head direction and the leg direction, and the neck area, back area, waist area and hip area are determined according to the head area, the leg area and the preset length threshold. More specifically, the pressure is integrated from the head direction to the leg direction, and after the pressure value is integrated to reach the first preset ratio of the total pressure value of the user, it is determined to enter the shoulder area, and the area within the first distance from the area to the head direction is the neck area, and the area greater than the first length is the head area. The pressure value integral is calculated from the leg direction to the head direction until the second preset ratio of the total pressure value is reached. The area before the integral is less than the second preset ratio is determined to be the leg area, and the area of ​​the second length from the leg area to the head area is determined to be the hip area. The area of ​​the third length upward from the hip area is the waist area. The length of the waist area is the fourth length.

[0091] Optionally, the first preset ratio is 10%.

[0092] Optionally, the second preset ratio is 15%.

[0093] Optionally, the first length, the second length, the third length and the fourth length are all determined according to the height of the user.

[0094] As an example, the value range of the first length is 10 cm to 18 cm, and the value of the second length is 15 cm.

[0095] When support optimization includes support uniform optimization, combined Figure 4 As shown, the embodiment of the present disclosure provides another method for mattress adjustment evaluation, comprising:

[0096] S401, the processor obtains pressure distribution data of the user on the mattress before and after the mattress is adjusted.

[0097] S402: The processor determines the pressure corresponding to each body area according to the pressure distribution data before and after the mattress is adjusted.

[0098] S403, the processor calculates a first coefficient of variation of the pressure corresponding to each body area before the mattress is adjusted, and a second coefficient of variation of the pressure corresponding to each body area after the mattress is adjusted.

[0099] S404: The processor determines a uniform support lifting degree according to the first variation coefficient and the second variation coefficient.

[0100] S405: The processor determines the degree of optimal fit between the mattress and the user through the pressure distribution data before and after the mattress is adjusted.

[0101] S406, the processor evaluates the improvement effect of the comfort level of the mattress after adjustment according to the support uniformity improvement and the fit optimization degree.

[0102] In this way, the improved uniformity of support brought about by mattress adjustment can be determined through the user's pressure distribution data on the mattress, reflecting the improvement in uniformity caused by mattress adjustment, so as to more accurately evaluate the improvement in comfort after mattress adjustment.

[0103] Among them, considering that the neck and waist area is partially suspended, the pressure on the mattress is small and unevenly distributed. In the process of calculating the first coefficient of variation and the second coefficient of variation, the pressure corresponding to the neck area and the waist area is removed. In actual applications, if the user identity is a user, only the data of the neck area is removed during the calculation process, and the data of the waist area is retained. If the user's BMI index is greater than the upper threshold, or less than the lower threshold, in the process of calculating the first coefficient of variation and the second coefficient of variation, 10% of the extreme data is first removed, and then the first coefficient of variation or the second coefficient of variation is calculated. The BMI index can be directly entered by the user. Alternatively, it can be automatically calculated based on the user's weight and height.

[0104] Optionally, the processor calculates a first coefficient of variation of pressures corresponding to each body area before the mattress is adjusted, including: the processor calculates a first average value and a first standard deviation of pressures corresponding to each body area before the mattress is adjusted, and determines a first coefficient of variation based on the first average value and the first standard deviation.

[0105] Optionally, the processor determines the first coefficient of variation based on the first mean and the first standard deviation, including: the processor determines the coefficient of variation as a quotient of the first standard deviation and the first mean.

[0106] Optionally, the processor determines the support uniformity improvement degree according to the first variation coefficient and the second variation coefficient, including: the processor calculates the support uniformity improvement degree:

[0107]

[0108] Among them, CV1 is the first coefficient of variation, and CV2 is the second coefficient of variation.

[0109] Combination Figure 5 As shown, the embodiment of the present disclosure provides another method for mattress adjustment evaluation, comprising:

[0110] S501, the processor obtains pressure distribution data of the user on the mattress before and after the mattress is adjusted.

[0111] S502: The processor determines the optimal support degree of the mattress for the user through the pressure distribution data before and after the mattress is adjusted.

[0112] S503: The processor determines the pressure distribution of the body area on the mattress before and after the adjustment according to the pressure distribution data before and after the adjustment of the mattress.

[0113] S504: The processor compares the pressure distribution of the body area on the mattress before and after the adjustment with the preset pressure distribution relationship to determine the optimal fit between the mattress and the user.

[0114] S505: The processor evaluates the effect of improving the comfort of the mattress after adjustment according to the support optimization degree and the fit optimization degree.

[0115] In this way, after the processor determines the pressure distribution of the body area on the mattress before and after the mattress is adjusted based on the pressure distribution data, it determines the fit between the mattress and the user by comparing the pressure distribution with the preset pressure distribution relationship, thereby more significantly determining the improvement effect of comfort after the mattress is adjusted.

[0116] Optionally, the processor determines the pressure distribution of the body regions on the mattress before and after the adjustment according to the pressure distribution data before and after the adjustment of the mattress, including: the processor determines the pressure value corresponding to the body region according to the pressure distribution data. The processor determines the pressure value proportion corresponding to the body region according to the pressure value corresponding to the body pressure region.

[0117] Optionally, the processor compares the pressure distribution of the body areas on the mattress before and after adjustment with the preset pressure distribution relationship to determine the degree of fit optimization between the mattress and the user, including: the processor records the pressure values ​​and the proportions of the pressure values ​​corresponding to the N body areas before and after the mattress is adjusted as tuples, and obtains 2N tuples. The N tuples corresponding to the mattress before adjustment are fitted as a first curve, and the N tuples corresponding to the mattress after adjustment are fitted as a second curve. And the preset pressure distribution relationship is fitted as a target curve in the same way. The goodness of fit between the first curve and the target curve, as well as the goodness of fit between the second curve and the target curve are calculated. The processor determines the degree of fit optimization based on the first goodness of fit and the second goodness of fit.

[0118] Optionally, the preset pressure distribution relationship is set to 10% for the head area, 30% for the back area, 10% for the waist area, 35% for the hip area, and 15% for the leg area.

[0119] Optionally, the processor determines the fit optimization degree according to the first goodness of fit and the second goodness of fit, including: the processor calculates the fit optimization degree:

[0120]

[0121] in, is the first goodness of fit, is the second goodness of fit.

[0122] Combination Figure 6 As shown, the embodiment of the present disclosure provides a device 200 for mattress adjustment evaluation, including a processor 60 and a memory 61. Optionally, the device 6 may also include a communication interface 62 and a bus 63. The processor 60, the communication interface 62, and the memory 61 may communicate with each other through the bus 63. The communication interface 62 may be used for information transmission. The processor 60 may call the logic instructions in the memory 61 to execute the method for mattress adjustment evaluation of the above embodiment.

[0123] In addition, the logic instructions in the above-mentioned memory 61 can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product.

[0124] The memory 61 is a computer-readable storage medium that can be used to store software programs and computer-executable programs, such as program instructions / modules corresponding to the method in the embodiment of the present disclosure. The processor 60 executes the program instructions / modules stored in the memory 61 to perform functional applications and data processing, that is, to implement the method for mattress adjustment evaluation in the above embodiment.

[0125] The memory 61 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application required for at least one function; the data storage area may store data created according to the use of the terminal device, etc. In addition, the memory 61 may include a high-speed random access memory and may also include a non-volatile memory.

[0126] Combination Figure 7 As shown, the embodiment of the present disclosure provides a mattress 100, including: a mattress body, and the above-mentioned device 200 for mattress adjustment evaluation. The device 200 for mattress adjustment evaluation is installed on the mattress body. The installation relationship described here is not limited to placement inside the mattress body, but also includes installation connections with other components of the mattress 100, including but not limited to physical connection, electrical connection or signal transmission connection, etc. It can be understood by those skilled in the art that the device 200 for mattress adjustment evaluation can be adapted to a feasible mattress body, thereby realizing other feasible embodiments.

[0127] An embodiment of the present disclosure provides a computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured to execute the above-mentioned method for mattress adjustment evaluation.

[0128] The technical solution of the embodiment of the present disclosure can be embodied in the form of a software product, which is stored in a storage medium and includes one or more instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the embodiment of the present disclosure. The aforementioned storage medium may be a non-transient storage medium, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, and other media that can store program codes.

[0129] The above description and the accompanying drawings fully illustrate the embodiments of the present disclosure so that those skilled in the art can practice them. Other embodiments may include structural, logical, electrical, process and other changes. The embodiments represent only possible changes. Unless explicitly required, separate components and functions are optional, and the order of operation may vary. The parts and features of some embodiments may be included in or replace the parts and features of other embodiments. Moreover, the words used in this application are only used to describe the embodiments and are not used to limit the claims. As used in the description of the embodiments and the claims, unless the context clearly indicates, the singular forms of "a", "an" and "the" are intended to include plural forms as well. Similarly, the term "and / or" as used in this application refers to any and all possible combinations of listings containing one or more associated ones. In addition, when used in the present application, the term "comprise" and its variants "comprises" and / or comprising refer to the presence of stated features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or groups thereof. In the absence of further restrictions, the elements defined by the sentence "comprising a ..." do not exclude the presence of other identical elements in the process, method or device comprising the elements. In this article, each embodiment may focus on the differences from other embodiments, and the same and similar parts between the various embodiments may refer to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method part disclosed in the embodiments, then the relevant parts can refer to the description of the method part.

[0130] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software may depend on the specific application and design constraints of the technical solution. The technicians may use different methods for each specific application to implement the described functions, but such implementations should not be considered to exceed the scope of the embodiments of the present disclosure. The technicians may clearly understand that, for the convenience and simplicity of description, the specific working processes of the systems, devices and units described above may refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here.

[0131] In the embodiments disclosed herein, the disclosed methods and products (including but not limited to devices, equipment, etc.) can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units can be only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between each other shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms. The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to implement this embodiment. In addition, each functional unit in the embodiment of the present disclosure may be integrated in a processing unit, or each unit may exist physically alone, or two or more units may be integrated in one unit.

[0132] The flowchart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system, method and computer program product according to the embodiment of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. In some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. In the description corresponding to the flowchart and the block diagram in the accompanying drawings, the operations or steps corresponding to different boxes can also occur in a different order from the order disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified functions or actions, or may be implemented by a combination of dedicated hardware and computer instructions.

Claims

1. A method for mattress adjustment evaluation, characterized in that: include: Obtain the user's pressure distribution data on the mattress before and after the mattress is adjusted; Determine the optimal support degree of the mattress for the user and the optimal fit degree between the mattress and the user through the pressure distribution data before and after the mattress is adjusted; Evaluate the improvement in comfort after mattress adjustment based on support optimization and fit optimization.

2. The method according to claim 1, characterized in that The support optimization degree includes the support area improvement degree; The pressure distribution data before and after the mattress adjustment is used to determine the optimal support of the mattress for the user, including: Determine a first contact area between the mattress and the user based on the pressure distribution data before the mattress is adjusted, and determine a second contact area between the mattress and the user based on the pressure distribution data after the mattress is adjusted; The degree to which the support area of ​​the mattress for the human body is increased by adjusting the mattress is determined according to the first contact area and the second contact area.

3. The method according to claim 2, characterized in that The first contact area between the mattress and the user is determined by the pressure distribution data before the mattress is adjusted, including: Determine, based on the pressure distribution data before the mattress is adjusted, an area on the mattress where the pressure is greater than a first pressure threshold, and record it as a first area; The area of ​​the first region is determined as a first contact area between the mattress and the user.

4. The method according to claim 1, characterized in that: The support optimization degree includes the target area support optimization degree; The pressure distribution data before and after the mattress adjustment is used to determine the optimal support of the mattress for the user, including: Determine the first target area before adjustment and the second target area after adjustment respectively according to the pressure distribution data before and after adjustment; Determine an area in the first target region where the pressure is greater than the second pressure threshold and less than the third pressure threshold as a first support area, and determine an area in the second target region where the pressure is greater than the second pressure threshold and less than the third pressure threshold as a second support area; The target area support optimization degree is determined according to the first support area and the second support area.

5. The method according to claim 1, characterized in that The support optimization degree includes support uniformity optimization degree; The pressure distribution data before and after the mattress adjustment is used to determine the optimal support of the mattress for the user, including: Determine the pressure corresponding to each body area based on the pressure distribution data before and after the mattress is adjusted; Calculate a first coefficient of variation of the pressure corresponding to each body area before the mattress is adjusted, and a second coefficient of variation of the pressure corresponding to each body area after the mattress is adjusted; The support uniform lifting degree is determined according to the first coefficient of variation and the second coefficient of variation.

6. The method according to claim 5, characterized in that Calculate the first coefficient of variation of pressure corresponding to each body area before mattress adjustment, including: Calculate a first mean value and a first standard deviation of the pressure corresponding to each body area before the mattress is adjusted; A first coefficient of variation is determined based on the first mean and the first standard deviation.

7. The method according to any one of claims 1 to 6, characterized in that: The optimal fit between the mattress and the user is determined through the pressure distribution data before and after the mattress is adjusted, including: According to the pressure distribution data, the pressure distribution of the body area on the mattress before and after the adjustment is determined respectively; The pressure distribution of the body area on the mattress before and after the adjustment is compared with the target pressure distribution relationship to determine the optimal fit between the mattress and the user.

8. A device for mattress adjustment evaluation, comprising a processor and a memory storing program instructions, characterized in that: The processor is configured to execute the method for mattress adjustment evaluation according to any one of claims 1 to 7 when running the program instructions.

9. A mattress, characterized in that: include: Mattress body; and, The device for mattress adjustment evaluation as claimed in claim 8, mounted on the mattress body.

10. A computer-readable storage medium storing program instructions, characterized in that: When the program instructions are executed, the computer is used to execute the method for mattress adjustment evaluation according to any one of claims 1 to 7.

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