Sleeping pillow design method and system based on ergonomics

Abstract

The present invention relates to a design technology of a sleeping pillow, and discloses a sleeping pillow design method and system based on ergonomic morphology, which measures the human body to build a crowd sleep support database; obtains crowd key node information, and obtains crowd key node information based on the crowd sleep support database; classifies crowd key nodes, and classifies the acquired crowd key node information through a similarity algorithm; determines the support conditions of sub-profile data in 11 areas of the head through the classified data; constructs a physical performance database through a regression equation with physical parameters as variables; establishes a sleep pillow distribution hole array; determines the distribution hole array based on the support conditions of sub-profile data in 11 areas of the head and neck and the physical performance database; and determines the engineering file of the sleep pillow through the sleep pillow distribution hole array. The sleep pillow designed through the engineering file of the present invention can accurately match the human body through the ergonomic morphology.

Description

Technical Field

[0001] The invention relates to a design technology of a sleeping pillow, and in particular to a design method and system of a sleeping pillow based on ergonomics. Background Art

[0002] According to a survey by the World Health Organization, the incidence of insomnia among Chinese people is as high as 38%. Sleep problems have become a serious public health problem. As an indispensable bedding for people's sleep activities, sleeping pillows help people maintain a good cervical curvature in their sleeping posture by supporting the head and neck. They can not only relax the neck muscles, but also effectively relieve neck pain, shoulder and back pain, headaches, etc., which directly affects the user's sleep quality. However, in order to obtain the above good sleep assistance, the design and manufacture of various parameters of the pillow must be coordinated with the user's specific ergonomics.

[0003] For example, the patent name is: A combined pillow, the patent application number is: CN201720190430.3, and the application date is: 2017-02-28. The patent application discloses a combined pillow including multiple pillow bags filled into a pillowcase to form a pillow; the pillow bags are divided into head load-bearing pillow bags, neck support pillow bags, and side sleeping support pillow bags. The three pillow bags are combined according to ergonomics, and each pillow bag has a variety of pillow height models. Each pillow bag is filled with one of latex, memory foam, tea, PE hose and down, and each pillow bag has 5 models filled with different materials.

[0004] Most of the sleeping pillows designed in the prior art are general codes, which cannot accurately match the specific user objects, and cannot directly generate manufacturing files to guide production. Summary of the invention

[0005] In view of the fact that most of the sleeping pillows designed in the prior art are general codes and cannot be accurately matched to specific users, and at the same time cannot directly generate manufacturing files to guide production defects, the present invention provides a sleeping pillow design method and system based on ergonomic morphology.

[0006] In order to solve the above technical problems, the present invention is solved by the following technical solutions:

[0007] A sleeping pillow design method based on ergonomics, which includes:

[0008] Build a sleep support database for the population, and build a sleep support database for the classified population by measuring big data of human body;

[0009] Obtain key node data of the classified population, and obtain standard average data of key nodes of the population based on the population sleep support database;

[0010] Crowd key node classification, matching the crowd key node information of the design target through similarity algorithm;

[0011] Determine the data support conditions of the sub-profiles in the 11 regions of the head and neck, and determine the data support conditions of the sub-profiles in the 11 regions of the head and neck by analyzing the classified data;

[0012] Determine the physical property database of pillow materials, and construct the physical property database through a regression equation with physical parameters as variables;

[0013] The distribution hole array of the sleeping pillow is established; the distribution hole array is determined based on the supporting conditions of the sub-surface data of the 11 zones of the head and neck and the physical properties database of the pillow materials;

[0014] The sleeping pillow engineering file is generated and the sleeping pillow engineering file is determined by the sleeping pillow distribution hole array.

[0015] Preferably, constructing a sleep support database for a population includes constructing a human head and neck database by measuring human-machine data materials;

[0016] The head and neck ergonomic morphology samples are classified by clustering algorithm formula 1 to obtain the classified human head and neck database;

[0017]

[0018] n represents the number of coordinate points; c represents the number of people; v k represents the cluster center of the kth class; μ ik Indicates the membership degree of the i-th sample to the k-th class; ‖x i -v k ‖ 2 Represents sample x i To cluster center v k The squared Euclidean distance; m represents the fuzzy index.

[0019] Preferably, the key nodes of the population include the occipital tip convex point in the side curve, the first cervical vertebrae curvature point, the second physiological curvature convex point of the back, the brow tip point in the front curve, the temporal bone tip point, the junction point between the mandible and the neck, and the peak convex point.

[0020] As a preference, the key node classification of the crowd includes:

[0021] Analyze the key node data of the classified population and obtain standard values, including:

[0022] The median of each coordinate of the human-machine contour curve is calculated to obtain the average contour curve of each group of people; the occipital tip convex point, the first cervical vertebrae curvature point, and the second physiological curvature convex point of the back in the side curve are extracted; the brow tip point, temporal bone tip point, mandibular and neck junction point, and peak convex point in the front curve are measured and entered.

[0023] Preferably, the supporting conditions of the sub-surface data of the 11 zones of the head and neck are determined, which include: determining the user population classification by calculating the cosine similarity; and calculating the cosine similarity of the coordinate data of the key nodes of each classification according to Formula 2; the population with the smallest calculated value is deemed to meet the requirements; and the left side of the key node that meets the median curve of the classified population is extracted to obtain the bed height of each node in the two lying positions, thereby determining the supporting conditions of the sub-surface data of the 11 zones of the head and neck.

[0024]

[0025] In formula 2, A i , B i They represent the coordinates of the key nodes of the user and the key nodes of the classified population in the database respectively, and n represents the number of coordinate points.

[0026] Preferably, the sleep pillow distribution hole array is established by determining a physical property database of the sleep pillow by a fitting algorithm of Formula 3;

[0027] k i =αd'+βl'+γc'+… Formula 3

[0028] In the formula, k i is the comprehensive stiffness coefficient of material i in the hole array with hole diameter d', hole spacing l' and height c', and α, β and γ are coefficients.

[0029] As a preferred sleeping pillow, the sleeping pillow is made of foaming material, and includes a two-layer structure, which is distributed up and down; the comprehensive stiffness coefficient of the upper structure is smaller than that of the lower structure, which conforms to the formula

[0030] k 总 =k 上 +k 下

[0031] k 上 ≤k 下

[0032] Among them, k 上 Superstructure stiffness coefficient, k 下 Substructure stiffness coefficient, k 总 Total stiffness coefficient.

[0033] Preferably, the sum of the thicknesses of the two-layer structure of the sleeping pillow is 80 to 150 mm.

[0034] The sleeping pillow design system based on ergonomics includes:

[0035] Construct a sleep support database module for the population, and construct a sleep support database module for the classified population by measuring big data of human bodies;

[0036] Obtain the key node data module of the classified population, and obtain the standard average data module of the key nodes of the population based on the population sleep support database module;

[0037] The crowd key node classification module matches the crowd key node information of the design target through a similarity algorithm;

[0038] A module for determining the supporting conditions of sub-profile data in 11 regions of the head and neck, which determines the supporting conditions of sub-profile data in 11 regions of the head and neck by classifying the data;

[0039] Determine the physical property database module of pillow materials, and construct the physical property database through the regression equation with physical parameters as variables;

[0040] Sleep pillow distribution hole array establishment module: determine the distribution hole array based on the support conditions of the sub-surface data of the 11 zones of the head and neck and the physical properties database of the pillow materials;

[0041] The sleeping pillow engineering file generation module determines the sleeping pillow engineering file through the sleeping pillow distribution hole array.

[0042] The present invention has significant technical effects due to the adoption of the above technical solution:

[0043] The present invention collects the coordinate data information of key nodes related to sleep of user groups, and constructs a database of the range of sleep support requirements of large groups of people through clustering; determines the sub-surface support conditions of the head and neck of the sub-individual in 11 areas by entering relevant individual information and matching with the above database; constructs a database of physical properties of foam materials; takes the sub-surface support conditions of 11 areas and the physical properties data of materials as variables, completes the structural design of pillow types for specific groups of people and specific materials, and generates production files through double-layer material support and non-equidistant hole array algorithms. The sleep pillow designed by the engineering file of the present invention can accurately match the human body through ergonomic morphology. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a flow chart of the present invention.

[0045] Figure 2 It is the pressure distribution matrix diagram of the present invention.

[0046] Figure 3 It is a sample collection diagram of the present invention.

[0047] Figure 4It is a diagram of the compression deformation of the sleeping pillow of the present invention.

[0048] Figure 5 It is the fitting curve diagram of the present invention.

[0049] Figure 6 It is the regression curve diagram of the present invention.

[0050] Figure 7 It is the model generation diagram of the present invention. DETAILED DESCRIPTION

[0051] The present invention is further described in detail below in conjunction with the accompanying drawings and embodiments.

[0052] Example 1

[0053] A sleeping pillow design method based on ergonomics, which includes:

[0054] Build a sleep support database for the population, and build a sleep support database for the classified population by measuring big data of human body;

[0055] Obtain key node data of the classified population, and obtain standard average data of key nodes of the population based on the population sleep support database;

[0056] Crowd key node classification, matching the crowd key node information of the design target through similarity algorithm;

[0057] Determine the data support conditions of the sub-profiles in the 11 regions of the head and neck, and determine the data support conditions of the sub-profiles in the 11 regions of the head and neck by analyzing the classified data;

[0058] Determine the physical property database of pillow materials, and construct the physical property database through a regression equation with physical parameters as variables;

[0059] The distribution hole array of the sleeping pillow is established; the distribution hole array is determined based on the supporting conditions of the sub-surface data of the 11 zones of the head and neck and the physical properties database of the pillow materials;

[0060] The sleeping pillow engineering file is generated and the sleeping pillow engineering file is determined by the sleeping pillow distribution hole array.

[0061] Constructing a sleep support database for the population includes:

[0062] Construct a human head and neck database through the measurement of human-machine data materials;

[0063] The head and neck ergonomic morphology samples are classified by clustering algorithm formula 1 to obtain the classified human head and neck database;

[0064]

[0065] n represents the number of coordinate points; c represents the number of people; v k represents the cluster center of the kth class; μ ik Indicates the membership degree of the i-th sample to the k-th class; ‖x i -v k ‖ 2 Represents sample x i To cluster center v k The squared Euclidean distance; m represents the fuzzy index.

[0066] The key nodes of the population include the occipital tip convex point in the side curve, the first curvature point of the cervical vertebra, the second physiological curvature convex point of the back, the tip point of the brow bone in the front curve, the tip point of the temporal bone, the junction point of the mandible and neck, and the peak convex point.

[0067] Analyze the key node data of the classified population and obtain standard values, including:

[0068] The median of each coordinate of the human-machine contour curve is calculated to obtain the average contour curve of each group of people; the occipital tip convex point, the first cervical vertebrae curvature point, and the second physiological curvature convex point of the back in the side curve are extracted; the brow tip point, temporal bone tip point, mandibular and neck junction point, and peak convex point in the front curve are measured and entered.

[0069] Determining the supporting conditions of the sub-surface data of the 11 zones of the head and neck includes: determining the user population classification by calculating the cosine similarity; and calculating the cosine similarity of the coordinate data of the key nodes of each classification according to Formula 2; the population with the smallest calculated value is regarded as the qualified population; extracting the left side of the key node that meets the median curve of the classified population to obtain the bed height of each node in the two lying positions, thereby determining the supporting conditions of the sub-surface data of the 11 zones of the head and neck.

[0070]

[0071] In formula 2, A i , B i They represent the coordinates of the key nodes of the user and the key nodes of the classified population in the database respectively, and n represents the number of coordinate points.

[0072] The sleep pillow distribution hole array is established, which includes determining the physical performance database of the sleep pillow through the fitting algorithm of Formula 3;

[0073] k i =αd'+βl'+γc'+...Formula 3

[0074] In the formula, k i is the comprehensive stiffness coefficient of material i in the hole array with hole diameter d', hole spacing l' and height c', and α, β and γ are coefficients.

[0075] The sleeping pillow is made of foam material and consists of two layers, which are distributed up and down. The comprehensive stiffness coefficient of the upper structure is smaller than that of the lower structure, which conforms to the formula

[0076] k 总 =k 上 +k 下

[0077] k 上 ≤k 下

[0078] Among them, k 上 Superstructure stiffness coefficient, k 下 Substructure stiffness coefficient, k 总 Total stiffness coefficient.

[0079] The sum of the thickness of the two-layer structure of the sleeping pillow is 80 to 150 mm.

[0080] Example 2

[0081] Based on the method of Example 1, a sleep pillow design system based on ergonomic morphology is implemented, which includes: constructing a sleep support database module for a group of people, and constructing a sleep support database module for a classified group of people by measuring big data of human bodies;

[0082] Obtain the key node data module of the classified population, and obtain the standard average data module of the key nodes of the population based on the population sleep support database module;

[0083] The crowd key node classification module matches the crowd key node information of the design target through a similarity algorithm;

[0084] A module for determining the supporting conditions of sub-profile data in 11 regions of the head and neck, which determines the supporting conditions of sub-profile data in 11 regions of the head and neck by classifying the data;

[0085] Determine the physical property database module of pillow materials, and construct the physical property database through the regression equation with physical parameters as variables;

[0086] Sleep pillow distribution hole array establishment module: determine the distribution hole array based on the support conditions of the sub-surface data of the 11 zones of the head and neck and the physical properties database of the pillow materials;

[0087] The sleeping pillow engineering file generation module determines the sleeping pillow engineering file through the sleeping pillow distribution hole array.

[0088] Example 3

[0089] Based on the above embodiment, a standard ideal head and neck pressure distribution matrix is ​​set. Figure 2The pressure distribution matrix shown, the ideal head and neck pressure distribution matrix is ​​the support target that the pillow needs to achieve, and the construction method is to calculate the average of the pressure distribution matrices ranked in the top 10% of the subjective evaluation.

[0090] The human head and neck database is constructed based on a large amount of human-machine data materials. The human head and neck database is constructed through measurement. The specific method is as follows: the subject maintains a normal physical condition during measurement, and the measurement clothing is based on tights or a small amount of necessary underwear.

[0091] When measuring, stand naturally upright, with your arms hanging naturally, your eyes looking straight ahead at a marker parallel to your line of sight, and your head, neck and shoulders relaxed;

[0092] The measurement personnel measured the weight, height, neck circumference, shoulder width, and posterior head contour curve of the subjects using a weight scale, height measuring ruler, circumference tape measure, Martin measuring ruler, and contour profiler to obtain the measurement data required for the experiment. The measured index data were entered into an EXCEL table and the relevant images were saved in JPG format.

[0093] The front and side profile curves of the head and neck of various groups of people are restored through data entry. The coordinates of each point measured above are entered into the computer. The front curve is from the cheekbone to the shoulder, and the back line is from the occipital cusp to the back. The database contains each sample in the form of a data set of coordinates of each point in the curve, as shown in the attached Figure 3 shown.

[0094] The database has its own algorithm, which can cluster the head and neck human-machine size samples through different judgment conditions. In the specific design and production process, the data can be classified as necessary according to the complexity of the product, cost investment, and population needs.

[0095] The median of the coordinates of the human-machine contour curve after each classification was calculated to obtain the average contour curve of each group of people, and the occipital cusp, the first cervical vertebrae curve, and the second physiological curve of the back in the side curve were extracted; the coordinates of 7 key nodes in the side curve, including the tip of the brow bone, the tip of the temporal bone, the junction of the mandible and neck, and the peak convex point, were used as the basis for pillow surface design.

[0096] The above 7 key point data of the target user are measured and entered, and the cosine similarity calculation is performed on the coordinate data of each classification key node.

[0097] The closer the calculated result is to 1, the more similar the two are. Record the minimum value of similarityB of the calculated result, and user A belongs to group B.

[0098] The median node position of the target user's group. The cosine similarity is used to determine which group the user belongs to. The heights of each node from the bed in the two lying positions are obtained by extracting the left side of the key nodes of the median curve of this group. These heights can be regarded as support conditions, which are also the state of the pillow after the human body sleeps on it.

[0099] Taking the memory foam with a diameter of 110 mm

[40] , a density of 60D, and a staggered hole spacing of 30 mm as an example, the fitting results are:

[0100] d=3.613k -0.769 (6≤d≤21)

[0101] Since pillows need to provide support and wrapping at the same time, the designed sleeping pillow adopts a double-layer structure. The upper and lower layers are made of foam materials with different hardness. The two materials need to satisfy the requirement that the comprehensive stiffness coefficient of the upper layer material is smaller than that of the lower layer, and the sum of the thickness of the double layers is between 90-110 before pressure is applied. Taking the 11-zone sub-surface support conditions and material physical properties data as variables, the specific parameters and hole array arrangement matrix of the upper and lower layer designs of pillows for specific people and specific materials are determined through fitting, and engineering files for production are generated, such as Figure 7 shown.

Claims

1. A sleeping pillow design method based on ergonomics, comprising: Construct a sleep support database for the population by measuring the human body; Obtaining the key node information of the crowd, and obtaining the key node information of the crowd based on the crowd sleep support database; Crowd key node classification: the obtained crowd key node information is classified by similarity algorithm; Determine the data support conditions of the sub-profiles in the 11 regions of the head and neck, and determine the data support conditions of the sub-profiles in the 11 regions of the head and neck by analyzing the classified data; Determine a physical performance database, and construct the physical performance database through a regression equation with physical parameters as variables; The hole array of the sleeping pillow is established based on the supporting conditions of the sub-surface data of the 11 zones of the head and neck and the physical properties database. The sleep pillow engineering file is generated, and the sleep pillow engineering file is determined by the sleep pillow distribution hole array; the sleep support database of the population is constructed, which includes: Construct a human head and neck database through the measurement of human-machine data materials; The head and neck ergonomic morphology samples are classified by clustering algorithm formula 1 to obtain a classified human head and neck database; In the formula, n represents the number of coordinate points; c represents the number of people; v k represents the cluster center of the kth class; μ ik Indicates the membership degree of the i-th sample to the k-th class; ‖x i -v k ‖ 2 Represents sample x i To cluster center v k The squared Euclidean distance; m represents the fuzzy index; The key nodes of the population include the occipital tip convex point in the posterior curve, the first cervical vertebrae curvature point, the second physiological curvature convex point of the back, the brow tip point in the lateral curve, the temporal tip point, the mandibular-cervical junction point, and the apex convex point; The key node classification of the crowd includes: Calculate the median of each coordinate of the human-machine contour curve to obtain the average contour curve of each group of people; The occipital tip convex point, the first cervical vertebrae curvature point, and the second physiological curvature convex point of the back in the posterior curve were extracted; the brow tip point, temporal tip point, mandibular and neck junction point, and peak convex point in the lateral curve were measured and entered, and the cosine similarity of the coordinate data of each classification key node was calculated according to formula 2; In formula 2, A i , B i They represent the key node coordinates of the user and the key node coordinates of the classified population in the database, and n represents the number of coordinate points; the supporting conditions of the sub-profile data of the 11 regions of the head and neck are determined, including the calculation of cosine similarity to determine the classification of the user population; the left side of the key node of the median curve of the classified population is extracted to obtain the height of each node from the bed under two lying positions, thereby determining the supporting conditions of the sub-profile data of the 11 regions of the head and neck; the distribution hole array of the sleeping pillow is established, including the physical performance database of the sleeping pillow is determined by the fitting algorithm of Formula 3; k i =αd'+βl'+γc' Formula 3; In formula 3, k i is the comprehensive stiffness coefficient of material i in the hole array with hole diameter d', hole spacing l' and height c', and α, β and γ are coefficients.

2. The method for designing a sleeping pillow based on ergonomics according to claim 1, characterized in that: The sleeping pillow is made of foaming material and comprises a two-layer structure distributed upper and lower; and the comprehensive stiffness coefficient of the upper structure is smaller than the comprehensive stiffness coefficient of the lower structure.

3. The method for designing a sleeping pillow based on ergonomics according to claim 1, characterized in that: The sum of the thickness of the two-layer structure of the sleeping pillow is 80 to 120 mm.

4. A sleeping pillow design system according to the sleeping pillow design method based on ergonomic morphology according to claim 1, characterized in that: include A module for constructing a sleep support database for a population, which measures the human body to construct a sleep support database for a population; A crowd key node information acquisition module obtains crowd key node information based on a crowd sleep support database; The crowd key node classification module classifies the acquired crowd key node information through a similarity algorithm; The module for determining the supporting conditions of the sub-profile data of the 11 regions of the head and neck is used to determine the supporting conditions of the sub-profile data of the 11 regions of the head and neck by using the data classified by the key node classification module of the crowd; A physical performance database determination module constructs a physical performance database through a regression equation with physical parameters as variables; Sleep pillow distribution hole array establishment module: The sleep pillow distribution hole array establishment module determines the distribution hole array through the sub-surface data support conditions and physical performance database of 11 areas of the head and neck; The sleeping pillow engineering file generation module determines the sleeping pillow engineering file through the sleeping pillow distribution hole array.

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