CN113094883A - Seat comfort quantification and customization system - Google Patents
Seat comfort quantification and customization system Download PDFInfo
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- CN113094883A CN113094883A CN202110347888.6A CN202110347888A CN113094883A CN 113094883 A CN113094883 A CN 113094883A CN 202110347888 A CN202110347888 A CN 202110347888A CN 113094883 A CN113094883 A CN 113094883A
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- 238000011002 quantification Methods 0.000 title claims abstract description 22
- 239000000463 material Substances 0.000 claims abstract description 19
- 238000013210 evaluation model Methods 0.000 claims abstract description 7
- 238000004364 calculation method Methods 0.000 claims description 9
- 238000013459 approach Methods 0.000 claims description 6
- 230000037396 body weight Effects 0.000 claims description 6
- 238000011156 evaluation Methods 0.000 claims description 5
- 238000000034 method Methods 0.000 claims description 5
- 210000003205 muscle Anatomy 0.000 claims description 3
- 230000003183 myoelectrical effect Effects 0.000 claims description 3
- 210000002414 leg Anatomy 0.000 description 10
- 238000012360 testing method Methods 0.000 description 7
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 2
- 239000003814 drug Substances 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 238000002567 electromyography Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000013139 quantization Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 235000017166 Bambusa arundinacea Nutrition 0.000 description 1
- 235000017491 Bambusa tulda Nutrition 0.000 description 1
- 206010049565 Muscle fatigue Diseases 0.000 description 1
- 235000010678 Paulownia tomentosa Nutrition 0.000 description 1
- 240000002834 Paulownia tomentosa Species 0.000 description 1
- 244000082204 Phyllostachys viridis Species 0.000 description 1
- 235000015334 Phyllostachys viridis Nutrition 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 239000011425 bamboo Substances 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 230000036760 body temperature Effects 0.000 description 1
- 210000001217 buttock Anatomy 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 238000007373 indentation Methods 0.000 description 1
- 229910052742 iron Inorganic materials 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 238000011056 performance test Methods 0.000 description 1
- 230000036387 respiratory rate Effects 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 239000002023 wood Substances 0.000 description 1
- 210000000707 wrist Anatomy 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
- G01M99/001—Testing of furniture, e.g. seats or mattresses
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/20—Design reuse, reusability analysis or reusability optimisation
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Abstract
The invention discloses a seat comfort quantification and customization system, which comprises a seat model comfort evaluation model; the seat model is provided with a physiological recording module, a control module and a selection module; the selection module is used for selecting different materials to simulate seats made of different materials; the seat surface of the seat model is divided into a leg seat surface, a hip seat surface and a back seat surface according to the human body contact part; the leg seat surface, the hip seat surface and the back seat surface are subjected to angle adjustment and seat surface shape adjustment by using the control module. The seat comfort quantification device can quantify the seat comfort, and the seat can be conveniently customized according to quantification results, so that the aim of seat comfort is fulfilled.
Description
Technical Field
The invention relates to the field of human body-seat mechanical relation testing, in particular to a method for quantifying, evaluating and matching human body comfort level in a sitting posture.
Background
The chair is a seat with a chair back and armrests. Ancient people sit on the ground without chairs, and the 'chair' originally is a wooden name. The "Shijing" has a tung chair and a "chair" is a name of a tree. Classifying according to materials: solid wood chairs, glass chairs, iron art chairs, plastic chairs, bamboo chairs, etc. Taking a seat as an example, for a long time, the design of the comfort level of the seat lacks the quantitative indexes and evaluation standards of the support performance of related materials, does not conform to the ergonomics, and causes discomfort and even influences the health after long-time sitting. Therefore, how to quantify the comfort level of the seat for different users becomes a technical problem to be solved urgently by the applicant for subsequent seat customization.
Disclosure of Invention
It is an object of the present invention to provide a seat comfort quantification and customization system. The seat can be quantized in comfort, and the seat can be conveniently customized according to the quantization result, so that the purposes of comfort and human health maintenance of the seat are achieved.
In order to solve the technical problems, the technical scheme provided by the invention is as follows: a seat comfort quantification and customization system comprises a seat model and a comfort evaluation model; the seat model is provided with a physiological recording module, a control module and a selection module; the selection module is used for selecting different materials to simulate seats made of different materials; the seat surface of the seat model is divided into a leg seat surface, a hip seat surface and a back seat surface according to the human body contact part; the leg seat surface, the hip seat surface and the back seat surface are subjected to angle adjustment and seat surface shape adjustment by using the control module;
when a user sits on the seat surface of the seat model, the angle adjustment and the seat surface shape adjustment are carried out on the leg seat surface, the hip seat surface and the back seat surface by using the control module, so that the comfort of the seat model is subjectively determined by the user, and at the moment, the physiological recording module records the human body parameters of the user; then obtaining a support factor, a surface softness factor, an elastic irregularity factor, a pressure intensity grade and a myoelectricity root-mean-square amplitude of the seat according to human body parameters;
and taking the support factor, the surface softness factor, the elastic irregularity factor, the pressure level and the myoelectricity root-mean-square amplitude as evaluation standards of the comfort evaluation model to obtain a comfort quantitative result of the seat.
According to the seat comfort quantification and customization system, the human body parameters comprise hip width, height and weight.
In the foregoing system for quantifying and customizing a comfort level of a seat, the calculation formula of the support factor is:
Y1＝-0.2967x2+2.7493x2-6.659x+6.986；
in the formula: x is hip width and Y1Is a support factor.
In the seat comfort quantifying and customizing system, the calculation formula of the surface softness factor is as follows:
Y2＝2.3346x3-21.987x2+58.109x-23.426；
in the formula: x is hip width and Y2Is a surface softening factor.
In the seat comfort quantifying and customizing system, the elastic irregularity factor is calculated by the following formula:
Y3＝-25.96ln(x)+3.263；
in the formula: x is hip width and Y3Is an elastic irregularity factor.
In the seat comfort quantifying and customizing system, the pressure level is calculated by the following formula:
Y4＝33.441ln(x4)-66.34；
in the formula: x is the number of4Is BMI index, which is the number of kilograms of body weight divided by the square of meters of height, Y4Is a pressure rating.
In the seat comfort quantifying and customizing system, the pressure level is calculated by the following formula:
Y5＝1.4307x5 2-65.001x5+773.46；
in the formula: x is the number of5Is BMI index, which is the number of kilograms of body weight divided by the square of meters of height, Y5Is the myoelectric root mean square amplitude.
According to the seat comfort quantification and customization system, when the support factor is greater than 2.8, the support strength of the seat is ensured, and the seat has comfort; the larger the surface softness factor is on the basis of a support factor >2.8, the more comfortable the seat is; the more the elastic irregularity factor approaches to 0, the more stable and comfortable the seat support is; when the pressure level is less than 37.5mmHg, the seat is comfortable; the more the rms amplitude approaches 0, the more relaxed the muscles are and the more comfortable the seat is.
Compared with the prior art, the invention utilizes the selection module to select different materials to simulate the seats made of different materials, utilizes the control module to carry out angle adjustment and seat surface shape adjustment on the leg seat surface, the hip seat surface and the back seat surface, then subjectively determines the comfort of the seat model by a user, utilizes the control module to carry out angle adjustment and seat surface shape adjustment on the leg seat surface, the hip seat surface and the back seat surface, ensures that the user subjectively determines the comfort of the seat model, and records the human body parameters of the user by the physiological recording module; then obtaining a support factor, a surface softness factor, an elastic irregularity factor, a pressure intensity grade and a myoelectricity root-mean-square amplitude of the seat according to human body parameters; the seat comfort quantification standard meeting the comfort levels of different crowds is formed by taking human engineering, medicine and material mechanics as bases, taking a human body and a seat system as research objects, and adopting the modes of material mechanical property testing, seat support mechanical testing, human body physiological index testing, subjective judgment and the like, so that the seat can be quantified, the seat can be conveniently customized according to the quantification result, the aim of seat comfort is fulfilled, the user experience is finally improved, and experimental data, scientific bases and theoretical bases are provided for customizing the seat. In addition, various parameters influencing the comfort of the seat are repeatedly considered, so that the seat comfort degree can be quantized in an all-around and standardized manner, and the seat comfort degree quantization method is suitable for requirements of different groups of people on different seat comfort degrees. The invention can further facilitate the custom production and planning of the seat by follow-up manufacturers.
Drawings
FIG. 1 is a schematic view of the present invention;
fig. 2 is a schematic view of seat surface division of the seat model.
Detailed Description
The present invention will be further described with reference to the following examples and drawings, but the present invention is not limited thereto.
Example (b): a seat comfort quantification and customization system, as shown in fig. 1, includes a seat model and a comfort evaluation model; the seat model is provided with a physiological recording module, a control module and a selection module; the selection module is used for selecting different materials to simulate seats made of different materials; as shown in fig. 2, the seating surface of the seat model is divided into a leg seating surface, a hip seating surface, and a back seating surface according to a human body contact portion; the leg seat surface, the hip seat surface and the back seat surface are subjected to angle adjustment and seat surface shape adjustment by using the control module;
when a user sits on the seat surface of the chair model, the control module is utilized to adjust the angles of the leg seat surface, the hip seat surface and the back seat surface and adjust the shape of the seat surface, as shown in fig. 2, the angle adjustment comprises the adjustment of the angle C between the leg seat surface and the horizontal plane, the adjustment of the angle A between the hip seat surface and the horizontal plane and the adjustment of the angle B between the back seat surface and the horizontal plane, and the adjustment of the shape of the seat surface comprises the adjustment of the length of the seat surface and the adjustment of the width of the seat surface; at this moment, the physiological recording module records human parameters of a user (namely, the human physiological system parameters in fig. 1), the human parameters comprise rising, weight, hip width, human muscle fatigue, skin electricity and heart rate, what the physiological recording module adopts is that ErgoLAB intelligence is dressed the human factor recorder, and ErgoLAB intelligence is dressed the human factor recorder and is a set of wearable multi-parameter comprehensive detector that can be worn everywhere in the human body, mainly contains 2 passageway ear clips intelligence and dresses the sensor, and 6 passageway wrist intelligence is dressed the sensor, and 4 passageway finger intelligence is dressed the sensor, and 6 passageway pectoral girdle intelligence is dressed the sensor. The physiological indexes of the human body such as SpO2 blood oxygen content, RESP respiratory rate, HR heartbeat speed, ECG electrocardio change, EDA skin electricity change, PPG pulse change, SKT body temperature, EMG electromyography and the like can be monitored in real time, and the posture and body position change of the human body and GPS time-space behavior and space position data can be extracted in real time. The intelligent wearing technology can provide high-quality and high-precision data acquisition and is comfortable to wear when being tested, and the intelligent wearing technology is a set of comprehensive testing system capable of continuously monitoring a series of physiological parameters and human states of a tester in real time in a human natural state or a motion process. The pressure parameters of the seat surfaces of the legs, the buttocks and the back are collected when the subjective sitting posture is comfortable, the pressure parameters are collected through an American tekscan seat pressure distribution measuring system, and the system is mainly used for measuring the pressure distribution condition of a human body acting on a seat, a mattress, a seat cushion and a back cushion. The system comprises a USB data acquisition device, operating software and a film pressure sensing sheet (sensing pad). The spatial resolution of the sensor sheet assembled by the system can reach up to one sensing point per square centimeter, and each sensor sheet can comprise up to 2,016 sensing point individuals. The system can also be expanded and support the simultaneous operation of multiple sets of sensing strips, and can be expanded to process 16,128 sensing points simultaneously at most. The thin thickness of the sensing sheet does not damage the properties of the original contact surface, so that the peak value of the local pressure and the distribution state of the whole pressure can be accurately measured. The human body parameters comprise basic data such as height, weight and the like; the mechanical parameters of the material comprise a load deformation curve, linear elasticity, stability, an elastic modulus, turning hardness, indentation hardness, a support factor, a surface soft factor and an elastic irregular factor, the mechanical parameters of the material are input into a selection module, and the selection module selects a corresponding material to call out in real time; then obtaining a support factor, a surface softness factor, an elastic irregularity factor, a pressure intensity grade and a myoelectricity root-mean-square amplitude of the seat according to human body parameters;
the calculation formula of the support factor is as follows:
Y1＝-0.2967x2+2.7493x2-6.659x+6.986；
in the formula: x is hip width and Y1Is a support factor.
The calculation formula of the surface softness factor is as follows:
Y2＝2.3346x3-21.987x2+58.109x-23.426；
in the formula: x is hip width and Y2Is a watchA face softness factor.
The elastic irregularity factor is calculated by the following formula:
Y3＝-25.96ln(x)+3.263；
in the formula: x is hip width and Y3Is an elastic irregularity factor.
The calculation formula of the pressure grade is as follows:
Y4＝33.441ln(x4)-66.34；
in the formula: x is the number of4Is BMI index, which is the number of kilograms of body weight divided by the square of meters of height, Y4Is a pressure rating.
Y5＝1.4307x5 2-65.001x5+773.46；
In the formula: x is the number of5Is BMI index, which is the number of kilograms of body weight divided by the square of meters of height, Y5Is the myoelectric root mean square amplitude.
The evaluation criteria of the comfort evaluation model, which are the support factors, the surface softness factors, the elastic irregularity factors, the pressure levels and the myoelectricity root-mean-square amplitudes, are shown in table 1:
TABLE 1
In table 1, when the support factor is greater than 2.8, the seat support strength is ensured and the comfort is achieved; the larger the surface softness factor is on the basis of a support factor >2.8, the more comfortable the seat is; the more the elastic irregularity factor approaches to 0, the more stable and comfortable the seat support is; when the pressure level is less than 37.5mmHg, the seat is comfortable; the more the rms amplitude approaches 0, the more relaxed the muscles are and the more comfortable the seat is. Therefore, a comfort level quantification result of the seat is obtained according to the comfort level evaluation standard in the table 1, and the seat is customized according to the comfort level quantification result and the requirements of different people.
In summary, the present invention uses human engineering, medicine and material mechanics as the basis, uses human body and seat system as the research object, and adopts the ways of material mechanics performance test, seat support mechanics test, human body physiological index test and subjective judgment, etc. to form the seat quantification standard meeting the comfort levels of different people, so as to quantify the comfort level of the seat, conveniently customize the seat according to the quantification result, achieve the purpose of seat comfort, finally improve the user experience, and provide experimental data, scientific basis and theoretical basis for customizing the seat.
Claims (8)
1. A seat comfort quantification and customization system, characterized by: the method comprises a seat model and a comfort evaluation model; the seat model is provided with a physiological recording module, a control module and a selection module; the selection module is used for selecting different materials to simulate seats made of different materials; the seat surface of the seat model is divided into a leg seat surface, a hip seat surface and a back seat surface according to the human body contact part; the leg seat surface, the hip seat surface and the back seat surface are subjected to angle adjustment and seat surface shape adjustment by using the control module;
when a user sits on the seat surface of the seat model, the angle adjustment and the seat surface shape adjustment are carried out on the leg seat surface, the hip seat surface and the back seat surface by using the control module, so that the comfort of the seat model is subjectively determined by the user, and at the moment, the physiological recording module records the human body parameters of the user; then obtaining a support factor, a surface softness factor, an elastic irregularity factor, a pressure intensity grade and a myoelectricity root-mean-square amplitude of the seat according to human body parameters;
and taking the support factor, the surface softness factor, the elastic irregularity factor, the pressure level and the myoelectricity root-mean-square amplitude as evaluation standards of the comfort evaluation model to obtain a comfort quantitative result of the seat.
2. The seat comfort quantifying and customizing system of claim 1, wherein: the human body parameters are hip width, height and weight.
3. The seat comfort quantification and customization system according to claim 2, wherein: the calculation formula of the support factor is as follows:
Y1＝-0.2967x2+2.7493x2-6.659x+6.986；
in the formula: x is hip width and Y1Is a support factor.
4. The seat comfort quantification and customization system according to claim 2, wherein: the calculation formula of the surface softness factor is as follows:
Y2＝2.3346x3-21.987x2+58.109x-23.426；
in the formula: x is hip width and Y2Is a surface softening factor.
5. The seat comfort quantification and customization system according to claim 2, wherein: the elastic irregularity factor is calculated by the following formula:
Y3＝-25.96ln(x)+3.263；
in the formula: x is hip width and Y3Is an elastic irregularity factor.
6. The seat comfort quantification and customization system according to claim 2, wherein: the calculation formula of the pressure grade is as follows:
Y4＝33.441ln(x4)-66.34；
in the formula: x is the number of4Is BMI index, which is the number of kilograms of body weight divided by the square of meters of height, Y4Is a pressure rating.
7. The seat comfort quantification and customization system according to claim 2, wherein: the calculation formula of the pressure grade is as follows:
Y5＝1.4307x5 2-65.001x5+773.46；
in the formula: x is the number of5Is BMI index, which is the number of kilograms of body weight divided by the square of meters of height, Y5Is the myoelectric root mean square amplitude.
8. The seat comfort quantifying and customizing system of claim 1, wherein: when the support factor is more than 2.8, the support strength of the seat is ensured, and the seat is comfortable; the larger the surface softness factor is on the basis of a support factor >2.8, the more comfortable the seat is; the more the elastic irregularity factor approaches to 0, the more stable and comfortable the seat support is; when the pressure level is less than 37.5mmHg, the seat is comfortable; the more the rms amplitude approaches 0, the more relaxed the muscles are and the more comfortable the seat is.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101889874A (en) * | 2010-07-20 | 2010-11-24 | 上海理工大学 | Evaluation method of ergonomics design of ultrasonic probe |
| CN103364215A (en) * | 2013-07-19 | 2013-10-23 | 上海理工大学 | Seat comfort objective parameter evaluation method |
| CN106556521A (en) * | 2016-11-07 | 2017-04-05 | 北京汽车股份有限公司 | The Evaluation of Comfort method and system of automotive seat |
| CN110398385A (en) * | 2019-05-30 | 2019-11-01 | 吉林大学 | A kind of evaluation method for Evaluations for Ride Comfort of Vehicle Seats |
| CN111024430A (en) * | 2019-12-25 | 2020-04-17 | 浙江省家具与五金研究所 | Method for testing stability of body pressure distribution of hard seat |
| CN111855250A (en) * | 2020-07-30 | 2020-10-30 | 程意斐 | Evaluation method for comfort level of seat surface of bamboo deck chair |
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- 2021-03-31 CN CN202110347888.6A patent/CN113094883A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101889874A (en) * | 2010-07-20 | 2010-11-24 | 上海理工大学 | Evaluation method of ergonomics design of ultrasonic probe |
| CN103364215A (en) * | 2013-07-19 | 2013-10-23 | 上海理工大学 | Seat comfort objective parameter evaluation method |
| CN106556521A (en) * | 2016-11-07 | 2017-04-05 | 北京汽车股份有限公司 | The Evaluation of Comfort method and system of automotive seat |
| CN110398385A (en) * | 2019-05-30 | 2019-11-01 | 吉林大学 | A kind of evaluation method for Evaluations for Ride Comfort of Vehicle Seats |
| CN111024430A (en) * | 2019-12-25 | 2020-04-17 | 浙江省家具与五金研究所 | Method for testing stability of body pressure distribution of hard seat |
| CN111855250A (en) * | 2020-07-30 | 2020-10-30 | 程意斐 | Evaluation method for comfort level of seat surface of bamboo deck chair |
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