CN110132815A - A kind of forecasting system for product comfort of sleeping - Google Patents
A kind of forecasting system for product comfort of sleeping Download PDFInfo
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- CN110132815A CN110132815A CN201910279020.XA CN201910279020A CN110132815A CN 110132815 A CN110132815 A CN 110132815A CN 201910279020 A CN201910279020 A CN 201910279020A CN 110132815 A CN110132815 A CN 110132815A
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- 230000007958 sleep Effects 0.000 claims abstract description 132
- 230000007613 environmental effect Effects 0.000 claims abstract description 28
- 238000010792 warming Methods 0.000 claims abstract description 18
- 238000011160 research Methods 0.000 claims abstract description 17
- 230000003860 sleep quality Effects 0.000 claims abstract description 9
- 239000004744 fabric Substances 0.000 claims description 14
- 238000012546 transfer Methods 0.000 claims description 12
- 238000002474 experimental method Methods 0.000 claims description 9
- 230000035479 physiological effects, processes and functions Effects 0.000 claims description 8
- 239000000945 filler Substances 0.000 claims description 7
- 230000005855 radiation Effects 0.000 claims description 7
- 230000004060 metabolic process Effects 0.000 claims description 6
- 241000894007 species Species 0.000 claims description 6
- 238000004519 manufacturing process Methods 0.000 claims description 5
- 230000008859 change Effects 0.000 claims description 4
- 230000037053 non-rapid eye movement Effects 0.000 claims description 4
- 230000017531 blood circulation Effects 0.000 claims description 3
- 230000000052 comparative effect Effects 0.000 claims description 3
- 230000005059 dormancy Effects 0.000 claims description 3
- 230000004461 rapid eye movement Effects 0.000 claims description 3
- 210000003205 muscle Anatomy 0.000 claims description 2
- 238000012986 modification Methods 0.000 abstract description 3
- 230000004048 modification Effects 0.000 abstract description 3
- 210000003746 feather Anatomy 0.000 description 3
- 238000013461 design Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 229920000742 Cotton Polymers 0.000 description 1
- 230000003750 conditioning effect Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000014759 maintenance of location Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000003340 mental effect Effects 0.000 description 1
- 238000012856 packing Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000002618 waking effect Effects 0.000 description 1
Classifications
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C31/00—Details or accessories for chairs, beds, or the like, not provided for in other groups of this subclass, e.g. upholstery fasteners, mattress protectors, stretching devices for mattress nets
- A47C31/12—Means, e.g. measuring means for adapting chairs, beds or mattresses to the shape or weight of persons
- A47C31/123—Means, e.g. measuring means for adapting chairs, beds or mattresses to the shape or weight of persons for beds or mattresses
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/08—Investigating permeability, pore-volume, or surface area of porous materials
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/36—Textiles
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- Chemical & Material Sciences (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Food Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- Dispersion Chemistry (AREA)
- Textile Engineering (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The present invention provides a kind of forecasting systems of product comfort of sleeping, including the warming amount database of sleep product, model building module, model authentication module, parametrization research module, prediction module and recommending module.The foundation of system is the following steps are included: S1: establishing a sleep human body comfort prediction model；S2: determining boundary condition and substitutes into the model having built up, and progress output data modification is to the error between experimental data and output data within 7%；S3: parametrization research；S4: based on the figure line relationship between S3 acquisition sleep product parameters, human factors, environmental factor, a kind of forecasting system of product comfort of sleeping is obtained；S5: the forecasting system based on a kind of S4 sleep product comfort obtained recommends the sleep product used under specific environment, it is ensured that the comfort of sleep quality.The forecasting system of sleep product comfort provided by the invention is capable of the comfort of more scientific, more accurate prediction sleep product.
Description
Technical field
The present invention relates to Smart Home technical fields, and in particular to a kind of forecasting system for product comfort of sleeping.
Background technique
With the raising of social and economic level and the level of consumption, people are on the basis for the aesthetics for meeting sleep product
On, always want to pursue higher level needs.Since internet to the publicity of sleep product comfort, health and is popularized, and
The raising of people's education level and human-subject test, people to the attention rate of itself physiological status and mental status increasingly
Height, this just promotes people to be increasingly turned to its comfort by the aesthetics of concern sleep product.In addition, the society's pressure to run at high speed
Power makes most people body tired, and the comfort for improving sleep product just seems particularly necessary to improve the sleep quality of people.
Consumer is when product is slept in selection, mainly according to the type of fabric, the type of the thickness of quilt cover, packing material
Estimate to sleep with content etc. the comfort of product, passes through the content of the thickness and filler that adjust fabric, prevent human heat
It is distributed outward to achieve the purpose that improve sleep product comfort.
And the prior art is primarily present following drawback: being estimated by the thickness for product of sleeping and the type and content of filler
The comfort of product is counted, uncertain factor is more, it is also difficult to the comfort temperature range of accurate judgement sleep product.Firstly,
In the market environment that consumer is often in relative comfort when buying product, in the environment not necessarily in actual use, very
Difficulty makes accurate anticipation.Secondly, being in waking state when consumer judges, and it is in sleep state in actual use, human body
Physiological status differs greatly, and can not accurately estimate the comfort of product.Finally, practical sleep environment is also dynamic change, disappear
The comfort difficulty that expense person estimates product is larger.
Therefore, it is necessary to a kind of forecasting systems of more scientific, more accurate sleep product comfort, predict sleep state servant
Body-sleep product-environment relationship, and intelligent recommendation is made, improve the comfort of sleep product.
Summary of the invention
Technical problems to be solved: the present invention provides it is a kind of sleep product comfort forecasting system, can it is more scientific,
The more accurately comfort of prediction sleep product.
Technical solution: a kind of forecasting system for product comfort of sleeping, the system comprises the warming amount data of sleep product
Library, model building module, model authentication module, parametrization research module, prediction module and recommending module；
The warming amount database root of sleep product is according to the fabric type of sleep product, fabric thickness, filling species, filler
The sleep product database recommended under the related specific environment of the buildings such as weight, human posture；
The model building module according to human body heat transfer model establish about sleep human body, sleep product and local environment
Sleep human body comfort prediction model；
The model authentication module obtains human factors, sleep by the difference of constantly amendment experimental data and output data
Figure line relationship between product factors and environmental factor；
The parametrization research module to various human factors, can be slept based on the sleep product comfort prediction model of verifying
Dormancy product factors and environmental factor carry out parametrization research, obtain a kind of forecasting system of product comfort of sleeping；
The prediction module is according to the sleep human body comfort of final " the sleep human body-sleep product-local environment " of acquisition
Prediction model, the comfort of sleep quality product when prediction environmental factor changes；
The recommending module can be can be obtained by the prediction module of the forecasting system of above-mentioned foundation " when m- core temperature-body
Table temperature " dynamic map, so as to assess different types of sleep product under different ambient temperature conditions after use by
The skin temperature and core temperature variation tendency of examination person, based on the warming amount database consumption guidance person of sleep product in specific ring
Suitable sleep product is selected under the conditions of border.
Further, the forecasting system foundation the following steps are included:
S1: according to Human Physiology heat transfer characteristics, the sleep human body of one " sleep human body-sleep product-local environment " is established
Comfort prediction model；
S2: being tested, and is determined boundary condition and is substituted into the model having built up, the resulting result data of comparative experiments and model
Output data modify, constantly repeat so that error between experimental data and output data is within 7%；
S3: the sleep product comfort prediction model based on verifying, to various environmental factors, sleep product factors and human factors
Carry out parametrization research；
S4: based on the figure line relationship between S3 acquisition sleep product parameters, human factors, environmental factor, a kind of sleep production is obtained
The forecasting system of product comfort；
S5: the forecasting system based on a kind of S4 sleep product comfort obtained, it can be according to the temperature, humidity, spoke of weather forecast
The parameters such as temperature and wind speed are penetrated, the sleep product used under specific environment is recommended based on the warming amount database of sleep product, it is ensured that
The comfort of sleep quality.
Further, human body-sleep product-local environment comfort prediction model of sleeping in the S1 is to be passed according to heat
The multinode physiology heat transfer model for passing correlation theory foundation, is subdivided into 32 sections for human body, each section is each inside-out
It is divided into four layers, an additional Blood Center, 129 nodes altogether, four layers in each section are body stratum nucleare, flesh
Sarcocyte, fat deposit and skin layer.
Further, in the S1 physiology heat transfer model consider sleep mannequin surface modeling periodicity, i.e., quick eye
Dynamic period and non-rapid eye movement period, there are the physiological parameters such as different metabolism amounts, rate of perspiration, blood flow, ague calorific value.
Further, in the S1 local environment be sleep human body 32 partial sections thermal resistance and dampness and around
Environmental parameter, including air themperature, relative humidity, radiation temperature and wind speed etc..
Further, experimental data is the core temperature and 12 mean skin temperatures measured in true man's experiment in the S2
Degree, output data are to pass through the resulting core temperature of model prediction and mean skin temperature.
Further, product and the environmental factor of sleeping in the S3 include the local thermal resistance of bedding and mattress and wet during sleep
Resistance, the local thermal resistance of worn clothes and dampness, environment epidemic disaster, radiation temperature and wind speed etc., the human factors include people
The change of body posture, that is, lie low, and lies on one's side and rolls up.
Further, sleep in the S5 the warming amount database root of product according to the fabric type of sleep product, fabric thickness,
It fills species and filler weight is built-up, need to accumulate acquisition by a large amount of experimental data.
The utility model has the advantages that
1. human body is divided into 32 sections in forecasting system of the present invention, each section is divided into four layers from the inside to surface, additional one
Blood Center, human height's sectionalization is established more acurrate, more scientific physiological models by totally 129 nodes, is had more precisely, more
The scientific theory of science is supported.
2. forecasting system of the present invention fully considers the physiological characteristic of human body, the sleep state of human body is divided into rapid eye movement
Two different metabolism states of period and non-rapid eye movement period, and consider the local thermal resistance and dampness of human body different parts,
And the local thermal resistance under human body different gestures, basic data is more accurate, is more in line with the virtual condition of human body.
3. forecasting system of the present invention further consider influence sleep product comfort various factors, i.e., sleep product and
Environmental factor and human factors, so that research is more careful, more comprehensively.To help the comfortable sleep product of consumer's selection,
Guarantee sleep quality, while Instructing manufacture quotient understands relationship of the warmth retention property of sleep product with it using temperature, thus according to disappearing
The use environment of expense person designs corresponding product.
Detailed description of the invention
Fig. 1 is the flow diagram of present invention sleep product comfort forecasting system.
Fig. 2 is the structural schematic diagram of present invention sleep product comfort forecasting system.
Specific embodiment
As depicted in figs. 1 and 2, a kind of forecasting system for product comfort of sleeping, including the warming amount database of sleep product,
Model building module, model authentication module, parametrization research module, prediction module and recommending module；Wherein, sleep product is warming
Amount database is used to be obtained according to the fabric type of sleep product, fabric thickness, filling species, filler weight, human posture
Obtaining different sleep products, the skin temperature of sleep human body and core temperature variation become after use under different ambient temperature conditions
Gesture, to recommend sleep product and Instructing manufacture quotient optimal under specific environment according to the use environment of consumer for consumer
Design optimal product；Model building module is established according to human body heat transfer model about " sleep human body-sleep product-part
The sleep human body comfort prediction model of environment "；Model authentication module is by constantly correcting experimental data and output data
Difference obtains the figure line relationship between human factors, sleep product factors and environmental factor；Parametrization research module is based on verifying
Sleep product comfort prediction model, to various human factors, sleep product factors and environmental factor carry out parametrization research,
Obtain a kind of forecasting system of product comfort of sleeping；Prediction module is according to final " sleep human body-sleep product-of acquisition
The sleep human body comfort prediction model of local environment ", the comfort of sleep quality product when prediction environmental factor changes；Recommend
Module obtains " when m- core temperature-shell temperature " dynamic map by the prediction module of the forecasting system of above-mentioned foundation, thus
Assess skin temperature and core temperature that different types of sleep product uses rear subject under different ambient temperature conditions
Variation tendency, selecting suitably to sleep under certain environmental conditions based on the warming amount database consumption guidance person of sleep product produces
Product.
The foundation of the present embodiment forecasting system the following steps are included:
S1: according to Human Physiology heat transfer model, the comfort for establishing one " sleep human body-sleep product-local environment " is pre-
Survey model；Model building module includes according to Human Physiology heat transfer model, i.e., according to the more piece of heat transmitting correlation theory foundation
The heat transfer model of " the sleep human body-sleep product-local environment " of point, establishes sleep human body comfort prediction model；Wherein,
Human body is subdivided into 32 sections, each section is respectively divided into four layers, i.e. body stratum nucleare, muscle layer, fat deposit and skin inside-out
Skin layers, an additional Blood Center, altogether 129 nodes；Meanwhile this sleep human body comfort prediction model has also contemplated sleep
The periodicity of mannequin surface modeling, i.e. rapid eye movement period and non-rapid eye movement period.It is interim in the two different thermal conditionings,
Sleep human body is in two different metabolism states, has different metabolism amounts, rate of perspiration, blood flow, ague calorific value etc. raw
Manage parameter.On this basis, it sleeps corresponding 32 local environments of 32 sections of human body comprising the thermal resistance of 32 sections and wet
Resistance and temperature, humidity, radiation temperature and the wind speed of ambient enviroment etc.；
S2: carry out 9 groups of experiments, determine boundary condition and bring the model having built up into, the resulting result data of comparative experiments with
The output data of model is modified, and is constantly repeated down to the error between experimental data and output data within 7%；It needs
The output data of resulting result data and model is tested in input in model authentication module, it is assumed that under specific condition of experiment,
Experimental data will be tested by true man several times and be obtained, and experiment condition includes human factors i.e. metabolism state, sleep product factors
I.e. thermal resistance and dampness and environmental factor, that is, heat of each section, the temperature of dampness and ambient enviroment, humidity of mattress and bedding and
Wind speed etc., experimental data include core temperature and the mean skin temperature that 12 methods measure；Output data be with experiment parameter
By the resulting core temperature of model prediction and mean skin temperature under identical each parameter, repeat to compare and modify experimental data
And output data, until error between the two within the acceptable range, finally obtain human factors, sleep product factors
Figure line relationship between environmental factor；
S3: the sleep product comfort prediction model based on verifying, to various environmental factors, sleep product factors and human factors
Carry out parametrization research；Parametrization research module is by further research environment factor, sleep product factors and human factors to sleeping
The influence of dormancy product comfort, the environmental factor include environment temperature, humidity, radiation temperature and wind speed etc., and the sleep produces
Product factor includes the local thermal resistance and dampness of bedding and mattress, the local thermal resistance of clothes and dampness during sleep, the human factors
Change including human posture, that is, lie low, and lies on one's side and rolls up；
S4: based on the figure line relationship between S3 acquisition sleep product parameters, human factors, environmental factor, a kind of sleep production is obtained
The forecasting system of product comfort；The sleep human body comfort prediction model established through the invention, when prediction environmental factor changes
The comfort of sleep quality product；
S5: the forecasting system based on a kind of S4 sleep product comfort obtained, it can be according to the epidemic disaster of weather forecast, radiation
Temperature and wind speed parameter recommend the sleep product used under specific environment based on the warming amount database of sleep product, it is ensured that human body
The comfort of sleep；According to the environment temperature parameter in different time points that weather forecast is reported, pass through the prediction of above-mentioned foundation
The prediction module of system obtains the dynamic map of " time-core temperature-shell temperature ", to assess different types of sleep
Product uses the skin temperature and core temperature variation tendency of rear subject under different ambient temperature conditions, is produced based on sleep
The warming amount database consumption guidance person of product selects product of suitably sleeping under certain environmental conditions, that is, completes sleep product and push away
It recommends.
Specifically, the warming amount database of sleep product is according to the fabric type of sleep product, fabric in S5
Thickness, filling species, filler weight, human posture etc. are built-up, need to obtain by a large amount of analysis of experimental data.
In the present embodiment, sheet and natural feather bedding are laid on plank bed, using cotton quilt cover and natural feather core, wherein natural feather core
Square grammes per square metre is 300g/m2, having a size of 1.5m × 2m, weight 900g.The sleep according to obtained by by analysis of experimental data
The thermal resistance that the warming amount database of product can get this eiderdown quilt when human body lies low is 4.4clo or so, is based on comfort prediction model
Know sleep after use under the conditions of varying environment the epidemic disaster skin temperature of human body and the variation tendency of DIE Temperature, thus
It can recommend the sleep product under certain environmental conditions, i.e., use the eiderdown quilt under 9.5 DEG C, 50% RH, no-wind environment
Human body is in comfortable sleep state.
The above is only a preferred embodiment of the present invention, it is not intended to restrict the invention, it is noted that for this skill
For the those of ordinary skill in art field, without departing from the technical principles of the invention, can also make it is several improvement and
Modification, these improvements and modifications also should be regarded as protection scope of the present invention.
Claims (8)
1. a kind of forecasting system for product comfort of sleeping, it is characterised in that: the system comprises the warming amount data of sleep product
Library, model building module, model authentication module, parametrization research module, prediction module and recommending module；
The warming amount database of sleep product is used for according to the fabric type of sleep product, fabric thickness, filling species, fills out
Fill the sleep product database recommended under the related specific environment of the buildings such as object weight, human posture；
The model building module according to human body heat transfer model establish about sleep human body, sleep product and local environment
Sleep human body comfort prediction model；
The model authentication module obtains human factors, sleep by the difference of constantly amendment experimental data and output data
Figure line relationship between product factors and environmental factor；
The parametrization research module to various human factors, can be slept based on the sleep product comfort prediction model of verifying
Dormancy product factors and environmental factor carry out parametrization research, obtain a kind of forecasting system of product comfort of sleeping；
The prediction module is according to the sleep human body comfort of final " the sleep human body-sleep product-local environment " of acquisition
Prediction model, the comfort of sleep quality product when prediction environmental factor changes；
The recommending module can be can be obtained by the prediction module of the forecasting system of above-mentioned foundation " when m- core temperature-body
Table temperature " dynamic map, so as to assess different types of sleep product under different ambient temperature conditions after use by
The skin temperature and core temperature variation tendency of examination person, based on the warming amount database consumption guidance person of sleep product in specific ring
Suitable sleep product is selected under the conditions of border.
2. a kind of forecasting system of product comfort of sleeping according to claim 1, it is characterised in that: forecasting system is built
It is vertical the following steps are included:
S1: according to Human Physiology heat transfer characteristics, the sleep human body of one " sleep human body-sleep product-local environment " is established
Comfort prediction model；
S2: being tested, and is determined boundary condition and is substituted into the model having built up, the resulting result data of comparative experiments and model
Output data modify, constantly repeat so that error between experimental data and output data is within 7%；
S3: the sleep product comfort prediction model based on verifying, to various environmental factors, sleep product factors and human factors
Carry out parametrization research；
S4: based on the figure line relationship between S3 acquisition sleep product parameters, human factors, environmental factor, a kind of sleep production is obtained
The forecasting system of product comfort；
S5: the forecasting system based on a kind of S4 sleep product comfort obtained, it can be according to the temperature, humidity, spoke of weather forecast
The parameters such as temperature and wind speed are penetrated, the sleep product used under specific environment is recommended based on the warming amount database of sleep product, it is ensured that
The comfort of sleep quality.
3. a kind of forecasting system of product comfort of sleeping according to claim 2, it is characterised in that: sleep in the S1
Human body-sleep product-local environment comfort prediction model is the multinode physiology heat established according to heat transmitting correlation theory
Human body is subdivided into 32 sections by TRANSFER MODEL, and each section is respectively divided into four layers inside-out, an additional Blood Center,
129 nodes altogether, four layers in each section are body stratum nucleare, muscle layer, fat deposit and skin layer.
4. a kind of forecasting system of product comfort of sleeping according to claim 3, it is characterised in that: physiology in the S1
Heat transfer model considers the periodicity of sleep mannequin surface modeling, i.e. rapid eye movement period and non-rapid eye movement period, has not
The physiological parameters such as metabolism amount together, rate of perspiration, blood flow, ague calorific value.
5. a kind of forecasting system of product comfort of sleeping according to claim 2, it is characterised in that: part in the S1
Environment be sleep human body 32 partial sections thermal resistance and dampness and around environmental parameter, including it is air themperature, opposite
Humidity, radiation temperature and wind speed etc..
6. a kind of forecasting system of product comfort of sleeping according to claim 2, it is characterised in that: tested in the S2
Data are the core temperature and 12 mean skin temperatures measured in true man's experiment, and output data is resulting by model prediction
Core temperature and mean skin temperature.
7. a kind of forecasting system of product comfort of sleeping according to claim 2, it is characterised in that: sleep in the S3
Product and environmental factor include during sleep the local thermal resistance and dampness of bedding and mattress, the local thermal resistance of worn clothes and dampness,
Environment epidemic disaster, radiation temperature and wind speed etc., the human factors include the change of human posture, that is, are lain low, and lie on one's side and curl up
Contracting.
8. a kind of forecasting system of product comfort of sleeping according to claim 2, it is characterised in that: sleep in the S5
The warming amount database root of product according to the fabric type of sleep product, fabric thickness, filling species and the building of filler weight and
At, need by a large amount of experimental data accumulate obtain.
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| CN117893076A (en) * | 2024-01-11 | 2024-04-16 | 苏州大学 | Construction and application method of sleep product efficacy evaluation system |
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| HUANG, J.等: "Prediction of air temperature for thermal comfort of people using sleeping bags: a review", 《INTERNATIONAL JOURNAL OF BIOMETEOROLOGY》 * |
| YUPING LIU 等: "Modelling and validation of comfort temperature for bedding system", 《12TH INTERNATIONAL MANIKIN AND MODELLING MEETING》 * |
| 常方圆: "浅谈寝床系统总热阻对人体睡眠热舒适度的影响", 《家具》 * |
| 杨杰: "基于人体-服装-环境的高温人体热反应模拟与实验研究", 《中国博士学位论文全文数据库 工程科技Ⅱ辑》 * |
| 王兴卫: "基于人体局部热需求差异的室内热环境与被褥微气候匹配研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
| 薛红香 等: "睡眠环境热舒适性模型的建立", 《山东建筑大学学报》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117893076A (en) * | 2024-01-11 | 2024-04-16 | 苏州大学 | Construction and application method of sleep product efficacy evaluation system |
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| Publication number | Publication date |
|---|---|
| CN110132815B (en) | 2022-03-29 |
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