CN114557494A - Comfortable clothing of motion based on data drive - Google Patents
Comfortable clothing of motion based on data drive Download PDFInfo
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- CN114557494A CN114557494A CN202111184331.1A CN202111184331A CN114557494A CN 114557494 A CN114557494 A CN 114557494A CN 202111184331 A CN202111184331 A CN 202111184331A CN 114557494 A CN114557494 A CN 114557494A
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- 230000033001 locomotion Effects 0.000 title claims description 12
- 238000001514 detection method Methods 0.000 claims abstract description 31
- 238000009423 ventilation Methods 0.000 claims abstract description 28
- 238000000034 method Methods 0.000 claims abstract description 18
- 210000003462 vein Anatomy 0.000 claims abstract description 10
- 239000011664 nicotinic acid Substances 0.000 claims abstract description 3
- 230000007613 environmental effect Effects 0.000 claims description 16
- 230000000386 athletic effect Effects 0.000 claims description 11
- 238000004364 calculation method Methods 0.000 claims description 6
- 230000036760 body temperature Effects 0.000 claims description 2
- 238000001816 cooling Methods 0.000 abstract description 22
- 238000012545 processing Methods 0.000 abstract description 7
- 239000002250 absorbent Substances 0.000 abstract description 2
- 210000004243 sweat Anatomy 0.000 abstract description 2
- 238000007664 blowing Methods 0.000 description 7
- 238000004891 communication Methods 0.000 description 5
- 239000012071 phase Substances 0.000 description 4
- 238000004781 supercooling Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 238000001914 filtration Methods 0.000 description 3
- 239000007788 liquid Substances 0.000 description 3
- 230000033228 biological regulation Effects 0.000 description 2
- 239000002826 coolant Substances 0.000 description 2
- 230000006378 damage Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000005057 refrigeration Methods 0.000 description 2
- 241001622623 Coeliadinae Species 0.000 description 1
- 206010019345 Heat stroke Diseases 0.000 description 1
- 208000007180 Sunstroke Diseases 0.000 description 1
- 210000001015 abdomen Anatomy 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 239000002657 fibrous material Substances 0.000 description 1
- 230000020169 heat generation Effects 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 239000012074 organic phase Substances 0.000 description 1
- 229920000728 polyester Polymers 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000033764 rhythmic process Effects 0.000 description 1
- 230000035807 sensation Effects 0.000 description 1
- 230000001953 sensory effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- A—HUMAN NECESSITIES
- A41—WEARING APPAREL
- A41D—OUTERWEAR; PROTECTIVE GARMENTS; ACCESSORIES
- A41D1/00—Garments
- A41D1/04—Vests, jerseys, sweaters or the like
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/23—Updating
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- A—HUMAN NECESSITIES
- A41—WEARING APPAREL
- A41D—OUTERWEAR; PROTECTIVE GARMENTS; ACCESSORIES
- A41D2600/00—Uses of garments specially adapted for specific purposes
- A41D2600/10—Uses of garments specially adapted for specific purposes for sport activities
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
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- Engineering & Computer Science (AREA)
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- General Physics & Mathematics (AREA)
- Textile Engineering (AREA)
- Professional, Industrial, Or Sporting Protective Garments (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention belongs to the field of cooling clothes, and provides a data-driven sports comfortable garment and a dynamic comfortable wind adjusting and controlling method. The sports comfortable clothes comprise a clothes body, a ventilation pipeline and a detection device, the distributed bionic ventilation pipeline designed by referring to the plant leaf vein structure is used for supplying air to a human body, and the wind speed of the micro air blower is adjusted by processing heart rate and environment temperature and humidity data through a main control unit in the detection device. The sweat-absorbent garment is light and convenient, is comfortable to wear, can uniformly and efficiently take away body surface heat and sweat, ensures the heat balance of the human body, and enables the human body to reach the most comfortable state on the premise of protecting the health of the human body.
Description
Technical Field
The invention belongs to the field of cooling clothes, and particularly relates to a data-driven sports comfortable garment.
Background
In recent years, with economic development and social progress, items such as tourism and outdoor sports have been increasingly popular. The human body is quite sensitive to temperature, strong discomfort is generated when the human body moves in a high-temperature environment for a long time, sunstroke can be caused, and death can be caused seriously, so that the cooling garment with the air conditioner is urgently needed. In addition, there is a need for cooling garments in some common occupations, such as policemen on duty outdoors at high temperatures for long periods of time, medical personnel working during epidemic situations, geologists exploring outdoors.
The current cooling clothes are mainly divided into liquid cooling clothes, phase change cooling clothes and gas cooling clothes according to the cooling principle.
The cold load of the liquid cooling clothes is relatively high, the thermal comfort index of workers working in a high-temperature environment can be met to a certain extent, the cold source must be adjusted regularly, and the continuous operation time of the system is greatly limited. The refrigerating system and the power system carried by the clothes make the liquid cooling clothes have larger volume and weight.
The phase change cooling suit is simple in structure, does not need to be additionally provided with refrigeration equipment, and is simple to operate. However, the phase change point of the current mainstream cooling medium is very low, which easily causes the problem of super-cooling, causing discomfort to users, and meanwhile, the safety of the current organic phase change material still remains to be considered. Phase change cooling also has a significant drawback, namely: the effective cooling time of the material is short and must be replaced periodically.
The gas cooling clothes adopt air as a cooling medium, the whole structure is not complex, and the working time is not limited by compressed air refrigeration. However, the current gas cooling clothes need to be connected with a compressor, so that the working range after wearing is limited.
Based on the problems, the invention provides a sports comfortable garment based on data driving, which utilizes a micro blower and a ventilation pipeline to combine into a human body for air supply, is safe and light, and has uniform air blowing; the wind speed is adjusted in real time according to the heart rate of a human body and the ambient temperature and humidity information, so that the problem of supercooling caused by single wind speed is solved, and the harm to the human body caused by long-time air blowing is avoided.
Disclosure of Invention
The invention aims to make up for the defects of the existing cooling clothes and provides a data-driven sports comfortable garment to solve various problems of large size, heavy weight, difficulty in carrying, uneven cooling effect, supercooling and the like of the existing cooling clothes.
In a first aspect, the present invention provides a data-driven athletic body suit, comprising: the clothes comprise a clothes body, a ventilation pipeline and a detection device; the clothes comprises a clothes body and is characterized in that pockets for containing detection devices are arranged at the sleeve openings of the clothes body, two micro blowers are arranged at the bottom of the back of the clothes body, and the micro blowers are connected with a battery. The ventilation pipeline adopts a distributed bionic ventilation pipeline designed by referring to a plant leaf vein structure, and the pipeline is laid according to a human body temperature distribution rule obtained by analyzing a human body back model.
Further, the ventilation duct comprises two air inlets and a plurality of air outlets. The clothes body is supplied with air through the micro-blower, the human body is fully paved with the breeze through the small holes of the pipeline, and finally the air is exhausted from the cuffs and the neckline, so that the air exchange is realized.
Furthermore, the micro blower is a micro blower with a direct current of 12V and an air volume of 15.2CMF, and is symmetrically arranged at the back of the abdomen of the back of the human body by taking the spine of the human body as a central axis.
Furthermore, the ventilation pipeline is provided with a main pipeline and a capillary pipeline according to the leaf vein structure of the plant, the two main pipelines are longitudinally paved on two sides of the back of a human body according to the main vein structure in the dicotyledonous plant reticular vein and connected with a micro air blower, the residual space between the air supply main pipes on two sides is connected through the capillary pipeline, the parallel vein structure according to the monocotyledonous plant is transversely distributed and uniformly paved on the back and the front of the chest of the human body.
Furthermore, a main pipeline and a capillary pipeline of the ventilation pipeline are respectively and uniformly provided with a plurality of ventilation micropores, the distance between the ventilation micropores is 50mm, and the aperture of each ventilation micropore is gradually increased from bottom to top and is 10-50mm, so that the problem of insufficient air output at the tail end of the pipeline is solved.
Further, the detection device comprises a heart rate detection module, an environment temperature and humidity detection module, a main control unit and a power supply module. The heart rate detection module is internally provided with a heart rate sensor; the environment temperature and humidity detection module is used for detecting the environment temperature and the relative humidity.
Further, the main control unit is respectively connected with the heart rate detection module and the environment temperature and humidity detection module to form a communication circuit.
The data-driven-based athletic body suit also includes a power source for powering the communication circuit.
In a second aspect, the invention further provides a dynamic comfort wind control method based on heart rate and ambient temperature and humidity, which includes the following steps:
step one, acquiring human heart rate and environment temperature and humidity information through a detection device on clothes, storing the information, and updating an existing database;
step two, the updating of the database specifically comprises the following steps:
1) storing heart rate data acquired by a sensor in different environments and different human body states into a set array;
2) the measured data are processed through the main control unit, the reference wind speed of the micro blower is obtained according to the environment temperature and humidity, the corresponding wind speed increment is obtained according to the heart rate value under the temperature and humidity, a certain heart rate value under the temperature and humidity condition is stored in the database, and the database is updated in real time.
Step three, after acquiring the heart rate and the environmental information, the method further comprises the following steps: processing the information;
step four, the processing of the environment information specifically comprises the following steps:
1) performing Kalman filtering on the acquired environment temperature and humidity information, removing white noise and acquiring a stable value;
2) and comparing the acquired environmental temperature and humidity information with the critical value of the interval divided by the thermal comfort standard indexes PMV and PPD, acquiring the interval corresponding to the environmental temperature and humidity value, and further determining the corresponding reference wind speed.
Step five, the heart rate information processing specifically comprises the following steps:
1) performing Kalman filtering on the acquired heart rate, removing white noise and acquiring a stable value;
2) removing extreme values of the filtered data to obtain a stable and smooth motion trend curve;
3) and determining the mean value and the variance corresponding to the motion trend curve, and acquiring the corresponding wind speed increment.
Step six, the determination of the reference wind speed specifically comprises the following steps:
1) comparing the environmental temperature and relative humidity information acquired by the detection device with critical values respectively, determining a corresponding temperature interval and a corresponding relative humidity interval, and further determining a corresponding thermal comfort feeling level;
2) obtaining a corresponding coefficient corresponding to the thermal comfort feeling grade according to the environmental temperature and humidity information;
3) calculating reference wind speed V under the corresponding thermal comfort level according to the environmental temperature and humidity information0The calculation formula is as follows:
V0a × T + b × relative humidity, where a and b are empirical values
Step seven, the step of acquiring the corresponding wind speed increment specifically comprises the following steps:
1) taking every ten heart rate data as a group of data, removing extreme values, obtaining a motion trend curve of the human body by using a least square method, and obtaining a coefficient corresponding to the curve;
2) calculating the mean value of each group of data
Sum variance σ2(HR)；
3) Determining the positive and negative of the corresponding wind speed increment delta V according to the positive and negative coefficients of the human body motion trend curve equation;
4) using calculated heart rate mean
The maximum heart rate percentage% HRmax is calculated, the correspondence between the two being as follows:
5) according to the percentage% HRmax of the maximum heart rate and the variance σ2(HR) to calculate the size of the corresponding wind speed increment Δ V, wherein the specific correspondence relationship is as follows:
σ2(HR)＝0，ΔV＝0
σ2(HR)＞0，ΔV＝％HRmax×V0+σ(HR)
the invention solves the problems of large volume, heavy weight, uneven cooling effect, supercooling and the like of the existing cooling clothes. The invention provides a data-drive-based sports comfortable garment which comprises a ventilation pipeline, a micro air blower, a heart rate detection module, an environment temperature and humidity detection module and a main control unit; and the main control unit is used for processing the heart rate value and the ambient temperature and humidity and controlling the wind speed of the micro blower. The sweat-absorbent garment is light and convenient, is comfortable to wear, can uniformly and efficiently take away body surface heat and sweat, ensures the heat balance of the human body, and enables the human body to reach the most comfortable state on the premise of protecting the health of the human body.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a schematic overall view of a data-driven, athletic body suit provided in accordance with the present invention;
FIG. 2 is a diagram of the internal structure of a data-driven athletic body suit provided in accordance with the present invention;
FIG. 3 is a schematic view of the back ventilation duct in a data-driven athletic body suit provided by the present invention;
fig. 4 is a flowchart of an embodiment of a dynamic comfort wind control method based on a heart rate and an ambient temperature and humidity according to the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
Referring to fig. 1-4, the data-driven-based athletic body suit of the present invention comprises: clothes body 1, air pipe and detection device 2, wherein, 1 cuff department of clothes body has arranged the pocket that holds detection device 2, the bottom of clothes body 1 back is equipped with two micro-blower 13, and micro-blower 13 is connected with battery 14. Air pipe includes trunk line 10 and capillary duct 11, two trunk lines 10 of air pipe link to each other with micro-blower 13, are vertically to be laid in human back both sides, and the surplus space between the both sides air feed main pipe 10 meets through capillary duct 11, is transverse distribution, evenly lays in human back and chest position, has compensatied the inhomogeneous shortcoming of single type pipeline air output volume. The main pipeline 10 and the capillary pipeline 11 are uniformly provided with ventilation micropores 12, and the ventilation micropores 12 supply air for the human body comprehensively.
The main body fabric of the garment is made of polyester fiber materials, and is stiff and smooth, moisture-absorbing, breathable and wear-resistant. The outside of the ventilation pipeline is adhered to the clothes body, and the inside of the pipeline is provided with a plurality of ventilation micropores 12, namely, a layer of the pipeline close to the body of a wearer is provided with a plurality of ventilation micropores 12. The whole ventilation system comprises two air inlets, and the air outlets are necklines and cuffs of the clothes. When air is blown into the air inlet holes, the whole clothes slightly bulges, and the ventilation micropores 12 are gradually increased from bottom to top, so that the air outlet volume of each ventilation micropore 12 is uniform.
The detection device 2 comprises a heart rate detection module 21, a temperature and humidity detection module 22, a main control unit 20 and a power supply module 23.
Further, the main control unit 20 is connected to the heart rate detection module 21 and the environment temperature and humidity detection module 22, respectively, to form a communication circuit.
The data-driven-based athletic body suit also includes a power supply 23 for powering the communication circuit.
Further, the heart rate detection module 21 is a module of an integrated pulse oximeter and heart rate monitor biosensor, and transmits the collected values to the main control unit 20 for calculation processing through a standard I2C compatible communication interface, and the main control unit 20 correspondingly adjusts the wind speed of the micro blower 13 according to the heart rate value.
Further, the environment temperature and humidity module 22 may measure the temperature and the relative humidity of the environment, set a plurality of different thermal comfort feeling levels according to human thermal comfort standard indexes PMV and PPD, transmit data obtained by the environment temperature and humidity module to the main control unit 20 for processing, and calculate a corresponding reference wind speed according to the measured temperature and relative humidity.
Further, the main control unit 20 is a stm32f103 series high-performance single chip microcomputer.
The sports comfortable garment provided by the embodiment of the invention comprises a ventilation pipeline, a micro blower 13, a heart rate detection module 21, an environment temperature and humidity detection module 22 and a main control unit 20. The main control unit 20 processes the heart rate value and the ambient temperature and humidity, and controls the wind speed of the micro blower 13.
Referring to fig. 4, the invention further provides a dynamic comfort wind control method based on heart rate and ambient temperature and humidity, which includes:
s1, the main control unit 20 collects and processes the heart rate of the human body and the environmental temperature and humidity data.
S2, storing the heart rate information after calculation into a database, namely memorizing and storing the individual general heart rate parameters, so that the system can be more quickly matched with the individual parameter interval of the user during the individual use period, and more efficiently matched with the wind speed required by the individual.
And S3, selecting a corresponding reference wind speed according to the obtained environment temperature and humidity.
And S4, selecting a corresponding wind speed increment according to the obtained heart rate information of the human body.
According to the method, the acquired heart rate value and the environment temperature and humidity are input into the main control unit as input quantities, the main control unit 20 determines the reference wind speed of the micro blower 13 according to the environment temperature and humidity, the movement trend of a person is judged according to the change curve of the human body heart rate value, then the corresponding wind speed increment is determined, and the dynamic regulation and control of the wind speed of the micro blower are achieved. On the premise of not damaging human health, dynamic comfortable wind is provided for a human body, so that the human body is always in a comfortable state in a high-temperature environment.
The step S1 mainly includes:
and S10, processing the heart rate information. And performing Kalman filtering on the ADC data to remove white noise.
And S11, taking every ten heart rate data as a group of data, removing extreme values, obtaining a motion trend curve of the human body by using a least square method, and obtaining a coefficient corresponding to the curve.
The step S3 mainly includes:
and S30, comparing the environmental temperature and the relative humidity information acquired by the detection device with preset values respectively, determining a corresponding temperature interval and a corresponding relative humidity interval, and further determining a corresponding thermal comfort feeling level.
And S31, obtaining corresponding coefficients corresponding to the thermal comfort feeling levels according to the environmental temperature and humidity information.
S32, calculating a reference wind speed V under the corresponding thermal comfort level according to the environmental temperature and humidity information0The calculation formula is as follows:
V0relative humidity of a × T + b ×
In the formula, V0The reference wind speed is set; a and b are empirical values; t is the ambient temperature.
The empirical values a, b differ in value at different levels of thermal comfort sensation. According to the experiment, the values of the relevant empirical values are shown in the following table:
| thermal comfort sensory rating | Empirical value a | Empirical value b |
| Is very stuffy | 0.042 | 0.171 |
| Stuffiness and hot feeling | 0.039 | 0.168 |
| Heat generation | 0.036 | 0.166 |
| Warm and air | 0.023 | 0.20 |
| (Comfort) | 0.02 | -0.12 |
| |
0 | 0 |
| |
0 | 0 |
The step S4 mainly includes:
s40, calculating the mean value of each group of data
Sum variance σ2(HR)；
S41, determining the positive and negative of the corresponding wind speed increment delta V according to the positive and negative coefficients of the human body motion trend curve equation;
s42, heart rate mean value obtained by calculation
The maximum heart rate percentage% HRmax is calculated, the correspondence between the two being as follows:
s43, HRmax and variance σ according to percentage of maximum heart rate%2(HR) to calculate the size of the corresponding wind speed increment Δ V, wherein the specific correspondence relationship is as follows:
σ2(HR)＝0，ΔV＝0
σ2(HR)＞0，ΔV＝％HRmax×V0+σ(HR)
in conclusion, the dynamic comfortable wind regulation and control algorithm based on the heart rate and the environmental temperature and humidity changes the current research situation of constant wind speed blowing and overcomes the defects that constant wind speed blowing is not comprehensive and uniform and damages human health. Carry out real-time update to the database, realize evenly blowing, can match individual rhythm of the heart information fast and change the speed of blowing under the prerequisite of protection health, improved the efficiency of blowing greatly.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same. Although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: it is to be understood that modifications may be made to the above-described embodiments, or equivalents may be substituted for some of the features of the embodiments, and such modifications or substitutions are not to be construed as essential to the spirit and scope of the embodiments of the present invention.
Claims (8)
1. The utility model provides a comfortable clothing of motion based on data drive, includes air pipe and detection device, its characterized in that: the ventilation pipeline adopts a distributed bionic ventilation pipeline designed by referring to a plant vein structure, and the pipeline is laid according to a human body temperature distribution rule obtained by analyzing a human body back model.
2. The data-driven-based athletic body wash of claim 1, wherein: the ventilation pipeline comprises two air inlets and a plurality of air outlets. When air is blown into the air inlet, the whole clothes slightly bulge, the breeze passing through the small holes of the pipeline completely spreads the air for the human body, the ventilation micropores gradually increase from bottom to top so as to solve the problem of insufficient air supply at the tail end of the pipeline, and finally, the air is exhausted from the cuffs and the neckline, so that the air exchange is realized.
3. The data-driven-based athletic body suit of claim 1, wherein: two trunk lines of the ventilation pipeline are longitudinally paved on two sides of the back of a human body and connected with a micro air blower by imitating main vein structures in dicotyledonous plant reticular veins, residual spaces between air supply main pipes on two sides are connected through capillary pipelines, parallel vein structures imitating monocotyledonous plants are transversely distributed and are uniformly paved on the back and the chest of the human body.
4. The data-driven-based athletic body wash of claim 3, wherein: the outside of each ventilating duct is adhered to the clothes body, the inside of the duct is provided with a plurality of ventilating micropores, namely, a plurality of ventilating micropores are arranged on one layer of the duct close to the body of a wearer, and the aperture of each ventilating micropore is gradually increased from bottom to top.
5. The data-driven-based athletic body wash of claim 1, wherein: the detection device comprises a heart rate detection module, an environment temperature and humidity detection module and a main control unit. The main control unit calculates and processes the heart rate value and the ambient temperature and humidity, and then adjusts the wind speed of the micro blower.
6. A dynamic comfort wind control method based on heart rate and ambient temperature and humidity realized by the data-driven sports body-refreshing clothes according to any one of claims 1 to 5, characterized by comprising the following steps:
step 1: the main control unit acquires and processes data of human heart rate and environmental temperature and humidity;
step 2: storing the calculated environmental temperature and humidity information and heart rate information into a database, namely memorizing and storing individual common heart rate parameters;
and step 3: determining a corresponding reference wind speed according to the obtained environment temperature and humidity;
and 4, step 4: and acquiring the corresponding wind speed increment according to the heart rate information in the database.
7. The method according to claim 6, wherein the determination of the reference wind speed specifically comprises the following steps:
step 1: comparing the environmental temperature and relative humidity information acquired by the detection device with critical values respectively, determining a corresponding temperature interval and a corresponding relative humidity interval, and further determining a corresponding thermal comfort feeling level;
step 2: obtaining a corresponding coefficient corresponding to the thermal comfort feeling grade according to the environmental temperature and humidity information;
and step 3: calculating the reference wind speed V under the corresponding thermal comfort level according to the environmental temperature and humidity information0The calculation formula is as follows:
V0a × T + b × relative humidity, where a and b are empirical values.
8. The dynamic comfort wind control method based on heart rate and environment temperature and humidity according to claim 6, wherein the obtaining of the corresponding wind speed increment specifically comprises the following steps:
step 1: taking every ten heart rate data as a group of data, removing extreme values, obtaining a motion trend curve of the human body by using a least square method, and obtaining a coefficient corresponding to the curve;
and 2, step: calculating the mean value of each group of data
Sum variance σ2(HR)；
And step 3: determining the positive and negative of the corresponding wind speed increment delta V according to the positive and negative coefficients of the human body motion trend curve equation;
and 4, step 4: using calculated heart rate mean
The maximum heart rate percentage% HRmax is calculated, the correspondence between the two being as follows:
and 5: according to the percentage% HRmax of the maximum heart rate and the variance σ2(HR) to calculate the size of the corresponding wind speed increment Δ V, wherein the specific corresponding relation is as follows:
σ2(HR)＝0，ΔV＝0
σ2(HR)＞0，ΔV＝％HRmax×V0+σ(HR)。
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| CN202111184331.1A CN114557494A (en) | 2021-10-12 | 2021-10-12 | Comfortable clothing of motion based on data drive |
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2021
- 2021-10-12 CN CN202111184331.1A patent/CN114557494A/en active Pending
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