Spring arrangement method of couple double spring mattress

Abstract

The invention discloses a spring arrangement method of a couple double spring mattress. A human body feature detection and acquisition system comprises a visible light human body data acquisition module, a laser reference positioning module, a human body skeleton and joint data acquisition module, a bioelectricity data acquisition module and a rack. According to body curve data collected by a human body characteristic detection and collection system for consumers and customizers and muscle fat contents of all parts, supporting springs are independently arranged, and according to the line diameter, the outer diameter, the original height, the compression height, the elastic coefficient and the like of the springs, a result is calculated through a spring constant formula, and human body data measured by people are calculated. Different types of springs (springs with different k values) are selected in different areas, and a spring layer conforming to a customer is designed, so that when the customer lies flat or lies on the side, the spine keeps physiological balance, and the bounce force borne by each part of the body is basically consistent. And the sleeping comfort of clients is improved as much as possible.

Description

Technical Field

[0001] The invention relates to the technical field of mattress manufacturing, and in particular to a spring arrangement method for a double spring mattress for couples. Background Art

[0002] Spring mattress is the mainstream product in the current mattress market. It is based on the spring layer as the bottom layer, and a comfort layer composed of various materials (such as sponge, latex, horsetail hair, cotton and wool blends, etc.) is laid on it to form the entire mattress.

[0003] The spring layer, which plays the main supporting role, is divided into two categories:

[0004] 1: Net spring. It is a bed net composed of hundreds of springs connected, and all the springs are connected together.

[0005] Advantages of mesh spring:

[0006] 1: Low cost, currently mostly used in low-end mattresses

[0007] 2: Since the springs are connected together, if one part is compressed, the whole mattress will deform. If the pressure is suddenly removed, the whole mattress will rebound. This design will produce overall ups and downs in the sexual life of couples, thus bringing extra interest to couples.

[0008] If the net-pulling spring is subjected to a little pressure, the whole body will deform; if the pressure point is suddenly removed, the whole body will rebound.

[0009] Disadvantages of the mesh spring:

[0010] 1: Large movements in bed will produce noise.

[0011] 2: Because the springs are connected together, when one spring is under pressure, the other springs will also be under tension. Therefore, for a mattress with tension net springs, if one couple turns over, it will affect the other person. For sensitive people, it will greatly affect the quality of sleep.

[0012] 3: For heavier people lying on the bed, because the springs are connected together, it is easy for the waist and hips to sink too much, and the body will be in a "V" shape. The mattress cannot support the body according to the body curve, and the overall comfort of the bed bottom is not enough. For people with heavy weight, especially those with a large abdomen, sleeping on this mattress for a long time may cause back pain.

[0013] Second: Independent spring layer. The entire spring layer is composed of hundreds or thousands of independent spring bags. Currently, mainstream mid-to-high-end spring mattresses all use this method.

[0014] The advantages of independent spring layers are:

[0015] 1: The springs are independent, and different spring arrangements can be used according to the body curve. (For example, the waist spring is harder and the hip spring is softer)

[0016] 2: Independent spring mattress. When one person turns over, it will not affect the other person.

[0017] 3: Even with large movements in bed, there is basically no noise. Summary of the invention

[0018] The purpose of the present invention is to provide a spring arrangement method for a double spring mattress for couples, which can collect human body characteristic information data of consumers and customers, comprehensively measure the height of various parts of the human body, as well as the circumference and fat content of various parts; and independently arrange support springs according to the body curves (human body characteristic data) of consumers and customers, as well as the muscle fat content of various parts.

[0019] In order to solve the above technical problems, the technical solution of the present invention is:

[0020] Based on the characteristics of the above two spring layers, we designed a new spring layer arrangement suitable for couples' double beds:

[0021] A new type of spring arrangement method for a double bed suitable for couples:

[0022] 1: Independent spring bags with small diameters are used on both sides to ensure that the couple does not interfere with each other's sleep, and it is more in line with the human body curve, improves the quality of sleep, and reduces the back pain caused by unreasonable spring layers.

[0023] 2: A large diameter and large pitch (the distance between two coils of spring) net spring is used in the middle. The large diameter and large pitch spring can be compressed more and has better rebound force. And because it is a net spring, once it is subjected to rapid local pressure, the entire net spring will be stressed and deformed. When the pressure is reduced, the entire net spring will have a rebound force. During the sexual life of the couple, the entire net spring belt will bring a large fluctuation force to both parties, thereby increasing the interest of the couple and improving the quality of their sexual life.

[0024] The human body data is detected and collected by a human body feature detection and collection system;

[0025] The human feature detection and acquisition system comprises a visible light human data acquisition module, a laser reference positioning module, a human skeleton and joint data acquisition module, a bioelectric data acquisition module, and a frame; the visible light human data acquisition module, the laser reference positioning module, the human skeleton and joint data acquisition module, and the bioelectric data acquisition module are fixedly arranged on the frame;

[0026] Visible light human body data acquisition module: This method usually uses high-definition cameras and other sensor devices to shoot and record the human body to obtain various unstructured data. In this process, the human body image obtained through visible light data can be divided into different parts, such as head, upper body, lower body, etc., so as to obtain more detailed and anatomically meaningful data. At the same time, laser reference positioning technology can also provide high-precision spatial position information to help accurately locate various parts of the human body.

[0027] Laser reference positioning: Laser positioning can be used to determine the position and posture of the human body, thereby providing more accurate data.

[0028] Human skeleton and joint data collection: By using special sensors and monitoring equipment, the movement of human skeleton and joints can be recorded to obtain relevant data. Images of the human body are collected from multiple angles and converted into three-dimensional models. Then, key point detection algorithms are used to identify human skeleton and joints. These data can be used for subsequent calculations of the human body force structure arrangement model.

[0029] Bioelectric data collection: This method uses bioelectric signal monitoring equipment to record the electrical signals generated by the human body and convert them into digital signals for processing and analysis. The collection of bioelectric data can be achieved by attaching electrodes to the surface of the human body and measuring the weak electrical signals of the human body. Through the human body fat and distribution algorithm, the fat content and distribution of the human body can be calculated based on the resistance value. In addition, by using weight collection equipment, the body weight data can be obtained, which can be used for subsequent model analysis.

[0030] Collection of human body data generation (structured data):

[0031] 1. Use the unstructured data collected by visible light human body data collection equipment and the unstructured data located by laser reference to analyze and establish human body structured data through visual analysis algorithms.

[0032] 2. Use visible light human body data acquisition equipment to generate non-visual data of human bones and joints, and use visual analysis algorithms to analyze and establish structured data of human bones and joints. These data can help the model perform calculations.

[0033] 3. Use bioelectricity and weight collection equipment to generate human weight data, body fat and muscle distribution data through human body fat and muscle distribution algorithm, including: weight, body shape, BMI, body fat rate, muscle weight, visceral fat, water rate, bone mass, fat weight, muscle rate, obesity, estimated lumbar ratio, skeletal muscle of limbs, body shape, skeletal muscle weight, water weight and other structured data.

[0034] Data initial processing:

[0035] 1. Through the human body structured data, the human body contour acquisition algorithm is used to generate detailed data of the human body contour structure, including: occipital cervical vertebrae curvature, thoracic vertebrae curvature, lumbar vertebrae curvature, shoulder width, back curvature, hip curvature, thigh curvature, and calf curvature. These data can be used for the next step of mattress pressure model analysis.

[0036] 2. Generate bone and joint structured data using human joint structured data and body skeleton algorithm, including:

[0037] Occipital position, shoulder blade position, ilium position, spine position and spine length, femur position, upper arm position and upper arm length, forearm position and forearm length, thigh bone position and thigh bone length, calf bone position and calf bone length, etc. These data can be used for the next step of mattress compression model analysis.

[0038] 3. Based on the human body weight data, body fat and muscle distribution data, the human body weight distribution algorithm is used to generate structured data of human body surface gravity distribution. These data can be used to design mattresses with a larger human body contact area.

[0039] Model analysis:

[0040] Utilize human structured data: human body contour structured data, human skeleton and joint structured data, human body surface gravity distribution structured data, use human body force structure arrangement model through trained human body shape and sleeping posture characteristic model, and then adjust by manual parameters for calculation. These model analyses are used for human body mechanics analysis and design and to predict the pressure distribution of the human body in different postures.

[0041] 5. Output production data

[0042] The calculation results of the human body force structure arrangement model are archived and a production plan is generated. These data can be used to formulate more scientific and reasonable production processes and plans.

[0043] Mattress production data: including human body surface area, zone pressure table, elastic element configuration table (material rigidity modulus, wire diameter, outer diameter, inner diameter, center diameter, total number of turns, effective number of turns, etc.), comfort layer material configuration table and other production data. These production data can be used to design and produce more ergonomic mattress products.

[0044] Beneficial effects of the present invention:

[0045] It can collect human characteristic information data of consumers and customizers, and comprehensively measure the height, circumference and fat content of various parts of the human body; and independently arrange support springs according to the body curves (human characteristic data) of consumers and customizers, as well as the muscle fat content of various parts. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 This is a schematic diagram of the spring arrangement of a new type of double bed suitable for couples of the present invention;

[0047] Figure 2 The present invention is a flowchart illustrating the working process of a human feature detection and collection system. DETAILED DESCRIPTION

[0048] The specific embodiments of the present invention are further described below in conjunction with the accompanying drawings. It should be noted that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation of the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0049] like Figure 1 , 2 As shown, a new type of spring arrangement method for a double bed suitable for couples:

[0050] 1: Independent spring bags with small diameters are used on both sides to ensure that the couple does not interfere with each other's sleep, and it is more in line with the human body curve, improves the quality of sleep, and reduces the back pain caused by unreasonable spring layers.

[0051] 2: A large diameter and large pitch (the distance between two coils of spring) net spring is used in the middle. The large diameter and large pitch spring can be compressed more and has better rebound force. And because it is a net spring, once it is subjected to rapid local pressure, the entire net spring will be stressed and deformed. When the pressure is reduced, the entire net spring will have a rebound force. During the sexual life of the couple, the entire net spring belt will bring a large fluctuation force to both parties, thereby increasing the interest of the couple and improving the quality of their sexual life.

[0052] Figure 1 The small and medium circles represent independent springs of small diameter, and the large circles connected by solid lines represent the large diameter net springs. The selection of the independent spring model needs to be calculated based on the human body data collected by the human body feature detection and collection system.

[0053] According to the spring wire diameter, outer diameter, original height, compressed height, elastic coefficient, etc., the spring constant formula is:

[0054] Spring constant: Expressed as k, when the spring is compressed, the load for every 1mm increase in distance (kgf / mm); Spring constant formula (unit: kgf / mm):

[0055] k = (G × d') / (8 × Dm' × Nc

[0056] G = rigidity modulus of wire: piano wire G = 8000; stainless steel wire G = 7300, phosphor bronze wire G = 4500, brass wire G = 3500

[0057] d = wire diameter

[0058] Dm = median diameter

[0059] N = total number of turns, Nc = effective number of turns = N-2

[0060] According to the calculation results of the formula and the human body data we measured, we select different types of springs in different areas and design a spring layer that suits the customer. This allows the customer's spine to maintain physiological balance when lying flat or on their side, and the rebound force on various parts of the body is basically the same.

[0061] A human feature detection and acquisition system, comprising a visible light human data acquisition module, a laser reference positioning module, a human skeleton and joint data acquisition module, a bioelectric data acquisition module, and a frame; the visible light human data acquisition module, the laser reference positioning module, the human skeleton and joint data acquisition module, and the bioelectric data acquisition module are fixedly arranged on the frame;

[0062] Visible light human body data acquisition module: This method usually uses high-definition cameras and other sensor devices to shoot and record the human body to obtain various unstructured data. In this process, the human body image obtained through visible light data can be divided into different parts, such as head, upper body, lower body, etc., so as to obtain more detailed and anatomically meaningful data. At the same time, laser reference positioning technology can also provide high-precision spatial position information to help accurately locate various parts of the human body.

[0063] Laser reference positioning: Laser positioning can be used to determine the position and posture of the human body, thereby providing more accurate data.

[0064] Human skeleton and joint data collection: By using special sensors and monitoring equipment, the movement of human skeleton and joints can be recorded to obtain relevant data. Images of the human body are collected from multiple angles and converted into three-dimensional models. Then, key point detection algorithms are used to identify human skeleton and joints. These data can be used for subsequent calculations of the human body force structure arrangement model.

[0065] Bioelectric data collection: This method uses bioelectric signal monitoring equipment to record the electrical signals generated by the human body and convert them into digital signals for processing and analysis. The collection of bioelectric data can be achieved by attaching electrodes to the surface of the human body and measuring the weak electrical signals of the human body. Through the human body fat and distribution algorithm, the fat content and distribution of the human body can be calculated based on the resistance value. In addition, by using weight collection equipment, the body weight data can be obtained, which can be used for subsequent model analysis.

[0066] Collection of human body data generation (structured data):

[0067] 4. Use the unstructured data collected by the visible light human body data acquisition equipment and the unstructured data located by the laser reference to analyze and establish human body structured data through visual analysis algorithms.

[0068] 5. Use visible light human body data acquisition equipment to generate non-visual data of human bones and joints, and use visual analysis algorithms to analyze and establish structured data of human bones and joints. These data can help the model perform calculations.

[0069] 6. Use bioelectricity and weight collection equipment to generate human weight data, body fat and muscle distribution data through human body fat and muscle distribution algorithm, including: weight, body shape, BMI, body fat rate, muscle weight, visceral fat, water rate, bone mass, fat weight, muscle rate, obesity, estimated lumbar ratio, skeletal muscle of limbs, body shape, skeletal muscle weight, water weight and other structured data.

[0070] Data initial processing:

[0071] 4. Through the human body structured data, the human body contour acquisition algorithm is used to generate detailed data of the human body contour structure, including: occipital cervical vertebrae curvature, thoracic vertebrae curvature, lumbar vertebrae curvature, shoulder width, back curvature, hip curvature, thigh curvature, and calf curvature. These data can be used for the next step of mattress pressure model analysis.

[0072] 5. Generate bone and joint structured data using human joint structured data and body skeleton algorithm, including:

[0073] Occipital position, shoulder blade position, ilium position, spine position and spine length, femur position, upper arm position and upper arm length, forearm position and forearm length, thigh bone position and thigh bone length, calf bone position and calf bone length, etc. These data can be used for the next step of mattress compression model analysis.

[0074] 6. Based on the human body weight data, body fat and muscle distribution data, the human body weight distribution algorithm is used to generate structured data of human body surface gravity distribution. These data can be used to design mattresses with a larger human body contact area.

[0075] Model analysis:

[0076] Utilize human structured data: human body contour structured data, human skeleton and joint structured data, human body surface gravity distribution structured data, use human body force structure arrangement model through trained human body shape and sleeping posture characteristic model, and then adjust by manual parameters for calculation. These model analyses are used for human body mechanics analysis and design and to predict the pressure distribution of the human body in different postures.

[0077] 5. Output production data

[0078] The calculation results of the human body force structure arrangement model are archived and a production plan is generated. These data can be used to formulate more scientific and reasonable production processes and plans.

[0079] Mattress production data: including human body surface area, zone pressure table, elastic element configuration table (material rigidity modulus, wire diameter, outer diameter, inner diameter, center diameter, total number of turns, effective number of turns, etc.), comfort layer material configuration table and other production data. These production data can be used to design and produce more ergonomic mattress products.

[0080] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited to the described embodiments. For those skilled in the art, various changes, modifications, substitutions and variations of these embodiments are made without departing from the principles and spirit of the present invention, and still fall within the protection scope of the present invention.

Claims

1. A method for arranging springs of a double spring mattress for a couple, characterized by: The mattress comprises a left half, a right half and a middle part, and the left half and the right half are respectively customized with corresponding independent spring arrangements for men and women; the middle part adopts a stretched net spring.

2. The method for arranging springs of a double spring mattress for a couple according to claim 1, characterized in that: The independent spring arrangement is based on the spring wire diameter, outer diameter, original height, compressed height, elastic coefficient, and the spring constant formula: Spring constant: Expressed as k, when the spring is compressed, the load for every 1mm increase in distance (kgf / mm); Spring constant formula (unit: kgf / mm): k=(G×d 1 )×(8×Dm 3 ×Nc) G = rigidity modulus of wire: piano wire G = 8000; stainless steel wire G = 7300, phosphor bronze wire G = 4500, brass wire G = 3500 d = wire diameter Dm = median diameter N = total number of turns, Nc = effective number of turns = N-2 According to the calculation results of the formula and the measured human body data, different types of springs are selected in different areas to design a spring layer that suits the customer. This allows the spine to maintain physiological balance when the customer lies flat or on his side, and the rebound force on various parts of the body is basically the same.

3. The method for arranging springs of a double spring mattress for a couple according to claim 2, characterized in that: The human body data is detected and collected by a human body feature detection and collection system; The human feature detection and acquisition system includes a visible light human data acquisition module, a laser reference positioning module, a human bone and joint data acquisition module, a bioelectric data acquisition module, and a frame; the visible light human data acquisition module, the laser reference positioning module, the human bone and joint data acquisition module, and the bioelectric data acquisition module are fixed on the frame.

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