CN110454930A - A kind of air conditioning control method and device based on the best hot comfort estimation of human body - Google Patents

A kind of air conditioning control method and device based on the best hot comfort estimation of human body Download PDF

Info

Publication number
CN110454930A
CN110454930A CN201810430982.6A CN201810430982A CN110454930A CN 110454930 A CN110454930 A CN 110454930A CN 201810430982 A CN201810430982 A CN 201810430982A CN 110454930 A CN110454930 A CN 110454930A
Authority
CN
China
Prior art keywords
human body
skin temperature
optimal
average skin
average
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201810430982.6A
Other languages
Chinese (zh)
Other versions
CN110454930B (en
Inventor
唐明生
吴江
田长青
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Technical Institute of Physics and Chemistry of CAS
Original Assignee
Technical Institute of Physics and Chemistry of CAS
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Technical Institute of Physics and Chemistry of CAS filed Critical Technical Institute of Physics and Chemistry of CAS
Priority to CN201810430982.6A priority Critical patent/CN110454930B/en
Publication of CN110454930A publication Critical patent/CN110454930A/en
Application granted granted Critical
Publication of CN110454930B publication Critical patent/CN110454930B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/54—Control or safety arrangements characterised by user interfaces or communication using one central controller connected to several sub-controllers
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • F24F11/64—Electronic processing using pre-stored data
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/70—Control systems characterised by their outputs; Constructional details thereof
    • F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
    • F24F11/74—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
    • F24F11/77—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity by controlling the speed of ventilators
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/70—Control systems characterised by their outputs; Constructional details thereof
    • F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2120/00—Control inputs relating to users or occupants
    • F24F2120/20—Feedback from users
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Signal Processing (AREA)
  • Fluid Mechanics (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Human Computer Interaction (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

The present invention provides a kind of air conditioning control method and device based on the best hot comfort estimation of human body, the best hot comfort evaluation method of human body therein includes: to obtain human body physical sign parameter using intelligent wearable device etc., calculates human body by given human body thermal balance model and reaches thermally equilibrated mean skin temperature TskWith average skin moisture Pwet, and utilize mean skin temperature TskWith human body real time history local skin temperature ThskAnd human body it is neutral when test local skin temperature and mean skin temperature etc. when neutral human body, predict human body to the hotness ballot TSV of local environment, by human thermal sensation's ballot and human body mean skin humidity as screening conditions, analysis obtains the index value that characterization target body is in best thermal comfort state.The present invention can make air-conditioning real-time and accurately perceive human thermal comfort state, and realize the personalized indoor environment parameter automatic adjustment of different user, guarantee to reduce human intervention and energy consumption while human body comfort.

Description

Air conditioner control method and device based on human body optimal thermal comfort estimation
Technical Field
The invention relates to the technical field of smart home, in particular to an air conditioner control method and device based on human body optimal thermal comfort estimation.
Background
Currently, most indoor air conditioners adopt an infrared remote controller to adjust and set the indoor temperature by manually selecting an air conditioner operation mode. The development of internet technology makes the market constantly emerge in the remote temperature control regulation based on the internet, for example come remote switch air conditioner, select air conditioner operational mode or set for air conditioner operating temperature etc. through intelligent Mobile terminal.
However, whether the infrared remote controller is used for manual remote control or the intelligent mobile terminal is used for remote monitoring, the following problems are more or less existed: firstly, the setting of the air conditioner temperature actually requires manual intervention of a user, or through a remote controller or a smart phone, etc.; secondly, the air conditioning equipment only depends on the manually set temperature to adjust the actual indoor temperature, cannot adapt to the cold and warm states of the user, and cannot realize the optimal user experience; thirdly, most of the existing air-conditioning equipment sets multiple operation modes including a refrigeration mode, a heating mode, a dehumidification mode, a ventilation mode, a sleep mode and the like in order to improve the comfort of users and the energy-saving effect, but for common use, the difference between different operation modes is not clear, so that the functions of the air conditioner cannot be fully exerted, and the realization of energy-saving operation is not facilitated.
On the other hand, current indoor environmental regulations based on human comfort include: the temperature and the humidity of a room are controlled by adopting a PMV index based on a thermal comfort index; or, the temperature of the human skin is used as a human thermal comfort characteristic index to set the room temperature. However, the PMV index is only suitable for the feelings of most people in the same environment, and cannot be applied to the feelings of all the people, and even if the PMV becomes 0, 5% of the people feel uncomfortable. When the skin temperature is adopted as a human body comfort index to set parameters such as indoor temperature, the increase of the skin humidity of the human body can be brought after the human body sweats, so that the increase rate of the skin temperature is reduced, and when the human body sweats continuously increase, the evaporation of sweat can further cause the reduction of the skin temperature, namely, the speed of the increase of the skin temperature of the human body along with the increase of the environmental temperature can be slowed down, so that the thermal sensation of the human body can not be accurately judged by singly adopting the skin temperature.
How to let the air conditioner accurately perceive the thermal comfort state of the human body in real time, realize the personalized air conditioner of the user, let the air conditioner automatically regulate the room parameter at the same time, and automatically select the operation mode according to the outdoor environment parameter, reduce human intervention while guaranteeing the human body to be comfortable, let the air conditioner operate in user's comfort interval and energy-conserving operation mode at the same time is a very important problem.
Disclosure of Invention
In order to overcome the above problems or at least partially solve the above problems, the present invention provides an air conditioner control method and apparatus based on the estimation of the optimal thermal comfort level of a human body, so that an air conditioner can accurately sense the thermal comfort state of the human body in real time, and realize the automatic personalized indoor environmental parameter adjustment of different users, thereby reducing human intervention and energy consumption while ensuring the comfort of the human body.
In a first aspect, the present invention provides a method for estimating an optimal thermal comfort level of a human body, including: s1, based on the human body physical sign parameters obtained in real time, calculating the average skin temperature T when the human body reaches the heat balance under the indoor environment parameters of the human body by using the given human body heat balance modelskAnd average skin moisture Pwet(ii) a S2, based on the average skin temperature T at each corresponding time in a given historical periodskAnd real-time historical local skin temperature ThskTesting local skin temperature when human body is neutral in heat and average skin temperature when human body is neutral in heat, and respectively calculating human body heat sensing voting TSV at each corresponding moment by using a human body heat sensing voting model; s3, using average skin moisture and human heat sensationVoting screening conditions for the average skin temperature T from each corresponding time instant within the given historical time periodskThe average skin wettability PwetAnd said real-time historical local skin temperature ThskScreening effective human body heat index parameters, carrying out statistical average analysis on the effective human body heat index parameters, and obtaining an optimal local skin temperature value T representing the optimal heat comfort level of a human bodyhcomOptimum average skin temperature TscomAnd an optimum average skin moisture Pwcom。
Wherein, the human body physical sign parameters specifically include: the current local skin temperature, heart rate, blood pressure and heat production of the human body; accordingly, the step of S1 further includes: determining the metabolism rate of the human body and the external work of the human body based on the current local skin temperature, the heart rate, the blood pressure and the heat production quantity; calculating the average skin temperature T using the given human thermal balance model based on the human metabolic rate and the human external workskAnd said average skin moisture Pwet。
Further, before the step of S1, the method further includes: acquiring the human body physical sign parameters, the real-time indoor environment parameters, the weather forecast outdoor environment parameters and the geographic position information of the human body; predicting the thermal resistance of the human body clothing based on the weather forecast outdoor environment parameters and the geographic position information of the human body, and correcting the thermal resistance of the human body clothing by using the real-time indoor environment parameters; and correcting the given human body heat balance model based on the corrected human body clothing thermal resistance.
Wherein the screening conditions based on average skin wettability and human body heat sensation voting are specifically as follows: -1<TSV<1 and Pwet<30, of a nitrogen-containing gas; or, -1<TSV<1 or Pwet<30。
Further, before the step of S2, the method further includes: according to a plurality of groups of continuously measured human body local skin temperatures, obtaining the test local skin temperature when the human body is thermally neutral through statistical averaging operation; or by optimizing the 1 st to n-1 st times in the historical dataLocal skin temperature value ThcomThe statistical average calculation of (1) obtaining a test local skin temperature value when the human body is neutral in heat for the nth time, and performing step-by-step iterative operation according to the test local skin temperature value when the human body is neutral in heat for the nth time to obtain the test local skin temperature when the human body is neutral in heat; the average skin temperature was taken to be 34.1 ℃ when the human body was thermally neutral.
Wherein the given human body heat balance model is a human body two-node model.
In a second aspect, the present invention provides an air conditioner control method based on the above-mentioned method for estimating optimal thermal comfort of a human body, comprising: s4, according to the optimal local skin temperature value ThcomThe optimum average skin temperature TscomAnd said optimal average skin moisturization PwcomAnd the real-time acquired air conditioner operation parameters are used for adjusting the indoor temperature, the indoor humidity and the air conditioner wind speed; s5, monitoring the current local skin temperature of the human body, the current average skin temperature of the human body and the current average skin moisture degree of the human body in real time to enable the current local skin temperature of the human body to be at the optimal local skin temperature value ThcomAnd the current average skin moisturization of said human body is within said optimal average skin moisturization PwcomOr the current average skin temperature of the human body is within the given neighborhood of (A), or the current average skin temperature of the human body is at the optimal average skin temperature TscomAnd the current average skin moisturization of said human body is within said optimal average skin moisturization PwcomOr the current local skin temperature of the human body is within the optimal local skin temperature value ThcomOr the current average skin temperature of the human body is within the given neighborhood of (A), or the current average skin temperature of the human body is at the optimal average skin temperature TscomWithin a given neighborhood of (c).
Further, after the step of S5, the air conditioning control method further includes: monitoring manual regulation behavior feedback of a user on indoor environment parameters, if the manual regulation behavior feedback is active regulation, returning to the step S1, and executing the steps S1 to S5 in a circulating mode until the manual regulation behavior feedback is unregulated.
In a third aspect, the present invention provides an optimal thermal comfort level estimation apparatus for a human body, comprising: at least one memory, at least one processor, a communication interface, and a bus; the memory, the processor and the communication interface complete mutual communication through the bus, and the communication interface is used for information transmission between the estimation equipment and the human body sign parameter acquisition equipment, the real-time indoor environment parameter acquisition equipment, the geographic position information acquisition equipment where the human body is located and the communication interface of the weather forecast system; the memory stores a computer program operable on the processor, and the processor implements the method for estimating the optimal thermal comfort level of the human body as described above when executing the computer program.
In a fourth aspect, the present invention provides an intelligent wearable system for estimating optimal human thermal comfort, including a charging device and an apparatus main body composed of the above-mentioned device for estimating optimal human thermal comfort, the apparatus main body including: the device comprises a human body physiological parameter detection unit, an environmental parameter detection unit, a GPS positioning unit, a signal processing unit, a data storage unit, a display unit, a wireless communication unit, an interface unit and a battery unit; the human body physiological parameter detection unit is used for detecting physiological parameter detection signals of a human body, including heart rate, blood pressure, skin temperature, respiratory skin current response and heat production quantity, and uploading the physiological parameter detection signals to the signal processing unit; the environment parameter detection unit is used for detecting environment parameter detection signals including temperature, humidity, illumination intensity and PM2.5 particulate matter concentration of a human body and uploading the environment parameter detection signals to the signal processing unit; the GPS positioning unit is used for detecting the geographic position information of the human body and uploading the geographic position information to the signal processing unit; the signal processing unit is used for processing the physiological parameter detection signal, the environmental parameter detection signal and the geographical position information to generate detection data, storing the detection data in the data storage unit, displaying the detection data in real time through the display unit and outputting the detection data to the outside through the wireless communication unit; the battery unit is used for providing electric energy for each subunit included in the equipment main body; the interface unit is used for providing an interface for program debugging of the equipment main body and charging of the battery unit.
Wherein the human physiological parameter detection unit further comprises: the device comprises an optical heart rate monitor, a body temperature sensor, a three-axis acceleration sensor, a skin electric reaction sensor and a bioelectrical impedance sensor; the environment parameter detection unit further includes: an ambient temperature and humidity sensor, a light and ultraviolet sensor and a PM2.5 sensor.
In a fifth aspect, the present invention provides an air conditioning control apparatus based on an estimation of an optimal thermal comfort level of a human body, comprising: the system comprises an air conditioner operation adjusting device, a human body thermal comfort monitoring device and at least one human body optimal thermal comfort estimating device; the air conditioner operation adjusting device is used for adjusting the optimal local skin temperature value T according to the optimal local skin temperature value ThcomThe optimum average skin temperature TscomAnd said optimal average skin moisturization PwcomAnd the real-time acquired air conditioner operation parameters are used for adjusting the indoor temperature, the indoor humidity and the air conditioner wind speed; the human thermal comfort monitoring equipment is used for monitoring the current local skin temperature of the human body, the current average skin temperature of the human body and the current average skin moisture of the human body in real time to enable the current local skin temperature of the human body to be at the optimal local skin temperature value ThcomAnd the current average skin moisturization of said human body is within said optimal average skin moisturization PwcomOr the current average skin temperature of the human body is within the given neighborhood of (A), or the current average skin temperature of the human body is at the optimal average skin temperature TscomAnd the current average skin moisturization of said human body is within said optimal average skin moisturization PwcomOr the current local skin temperature of the human body is within the optimal local skin temperature value ThcomOr the current average skin temperature of the human body is within the given neighborhood of (A), or the current average skin temperature of the human body is at the optimal average skin temperature TscomWithin a given neighborhood of (c).
The invention provides an air conditioner control method and device based on human body optimal thermal comfort estimation, which obtains human body sign parameters by using intelligent wearable equipment, calculates human body average core temperature Tcr, average skin temperature Tsk and average skin wettability Pwet of a human body reaching thermal balance by using a human body thermal balance model, predicts Thermal Sensation Vote (TSV) of the human body to the environment by using human body local skin temperature tested by the intelligent wearable equipment and the calculated human body average skin temperature, analyzes and obtains an index representing the human body optimal thermal comfort by using the human body thermal sensation vote and the human body average skin humidity as screening conditions, and further performs air conditioner automatic control according to the obtained index representing the human body optimal thermal comfort, so that the air conditioner can accurately sense the human body thermal comfort state in real time and realize automatic individualized indoor environment parameter adjustment of different users, human intervention and energy consumption are reduced while human body comfort is ensured.
Drawings
FIG. 1 is a flowchart illustrating a method for estimating an optimal thermal comfort level of a human body according to an embodiment of the present invention;
FIG. 2 is a flowchart of calculating the average skin temperature Tsk and the average skin wettability Pwet according to the method for estimating the optimal thermal comfort of a human body according to the embodiment of the present invention;
FIG. 3 is a flowchart of calculating a user optimal comfort index in a method for estimating a human optimal thermal comfort according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating correction of a given human thermal balance model in a method for estimating optimal thermal comfort of a human according to an embodiment of the present invention;
FIG. 5 is a flowchart of an air conditioning control method based on the estimation of the optimal thermal comfort level of a human body according to an embodiment of the present invention;
FIG. 6 is a flowchart illustrating another method for controlling an air conditioner based on an estimation of an optimal thermal comfort level of a human body according to an embodiment of the present invention;
FIG. 7 is a block diagram of an apparatus for estimating optimal thermal comfort of a human body according to an embodiment of the present invention;
FIG. 8 is a schematic structural diagram of an air conditioning control device based on an estimation of optimal thermal comfort level of a human body according to an embodiment of the present invention;
FIG. 9 is a schematic structural diagram of another air conditioning control device based on the estimation of the optimal thermal comfort level of the human body according to the embodiment of the present invention;
fig. 10 is a functional configuration diagram of an intelligent wearable device for measuring human body thermal sensation according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
As an aspect of the embodiment of the present invention, the embodiment provides a method for estimating optimal thermal comfort of a human body, and referring to fig. 1, a flowchart of the method for estimating optimal thermal comfort of a human body according to the embodiment of the present invention includes:
s1, based on the human body physical sign parameters obtained in real time, calculating the average skin temperature T when the human body reaches the heat balance under the indoor environment parameters of the human body by using the given human body heat balance modelskAnd average skin moisture Pwet。
It can be understood that, in a given period of time, specific human body physical sign parameters of a target human body, such as the current local skin temperature, heart rate, blood pressure, heat production and the like of the human body, are acquired in real time by using the intelligent wearable device and the like. The human body sign parameters are used as the input of a given human body heat balance model, the given human body heat balance model is used for data operation, and the average skin temperature T when the human body can reach heat balance under the indoor environment parameters of the human body is outputskAnd average skin moisture Pwet. Wherein a human thermal balance model such as a human two-node model is given.
S2, based on the average skin temperature T at each corresponding time in a given historical periodskAnd real-time historical local skin temperature ThskAnd testing the local skin temperature when the human body is neutral in heat and the average skin temperature when the human body is neutral in heat, and respectively calculating the human body thermal sensing voting TSV at each corresponding moment by using a human body thermal sensing voting model.
It can be understood that, for the given period of time, that is, within the given historical period of time, the average skin temperature T corresponding to each acquisition time point of the human body physical sign parameters obtained by calculationskAnd real-time historical local skin temperature T acquired at each corresponding acquisition time pointhskAnd testing local skin temperature and average skin temperature when the human body is neutral according to the statistical operation, respectively carrying out thermal sensing voting calculation on each corresponding acquisition time point by using a human body thermal sensing voting model, and acquiring each corresponding acquisition time point, namely the human body thermal sensing voting TSV corresponding to each corresponding time in a given historical time period.
S3, using the screening condition based on average skin wettability and human body heat sensation voting, obtaining the average skin temperature T from each corresponding time in the given historical time periodskThe average skin wettability PwetAnd said real-time historical local skin temperature ThskScreening effective human body heat index parameters, carrying out statistical average analysis on the effective human body heat index parameters, and obtaining an optimal local skin temperature value T representing the optimal heat comfort level of a human bodyhcomOptimum average skin temperature TscomAnd an optimum average skin moisture Pwcom。
It can be understood that the average skin wettability P corresponding to each corresponding moment in a given historical time period is calculated and obtained according to the stepswetAnd a human thermal sense voting TSV afterwetAnd establishing screening conditions based on the average skin wettability and the human body heat sensation voting TSV, and establishing the screening conditions for the average skin temperature T at each corresponding moment by using the screening conditionsskAverage skin moisture PwetAnd real-time historical local skin temperature ThskAnd (5) screening. And screening out data meeting the conditions as effective human body heat index parameters.
It should be understood that, according to the above-mentioned screening conditions, the corresponding effective sampling moments are first screened out, and then the corresponding effective average skin is determined according to the effective sampling momentsTemperature TskEffective average skin moisture PwetAnd effective real-time historical local skin temperature ThskNamely the effective human body heat index parameter. Then respectively comparing the screened effective average skin temperature TskEffective average skin moisture PwetAnd effective real-time historical local skin temperature ThskCarrying out statistics and averaging to respectively obtain corresponding optimal local skin temperature values ThcomOptimum average skin temperature TscomAnd an optimum average skin moisture Pwcom。
Optionally, the screening conditions based on average skin wettability and human body heat sensation voting specifically include:
-1<TSV<1 and Pwet<30；
Or, -1<TSV<1 or Pwet<30。
It will be appreciated that when data screening is performed, it will be possible to satisfy-1 simultaneously<TSV<1 and Pwet<The corresponding sampling time of 30 is used as the effective sampling time to determine the effective human body heat index parameter, or only satisfy-1<TSV<1 or only satisfy Pwet<And taking the corresponding sampling time of 30 as effective sampling time to determine the effective human body heat index parameter.
According to the method for estimating the optimal thermal comfort of the human body, provided by the invention, the human body sign parameters are obtained by using the intelligent wearable equipment, and the human body average core temperature T for the human body to reach thermal balance is calculated through the human body thermal balance modelcrAverage skin temperature TskAverage skin moisture PwetAnd predicting the thermal sensation voting TSV of the human body to the environment according to the local skin temperature of the human body and the average skin temperature of the human body, and analyzing to obtain the index representing the optimal thermal comfort of the human body by taking the human body thermal sensation voting and the human body skin humidity as screening conditions. The air conditioner can accurately sense the thermal comfort state of the human body in real time, realize automatic individualized indoor environment parameter adjustment of different users, ensure the comfort of the human body and reduce human intervention and energy consumption.
Optionally, the human body sign parameters specifically include: the current local skin temperature, heart rate, blood pressure and heat production of the human body;
accordingly, the further processing step of S1 referring to fig. 2 is to calculate the average skin temperature T in the method for estimating the optimal thermal comfort level of the human body according to the embodiment of the inventionskAnd average skin moisture PwetComprises the following steps:
and S11, determining the human body metabolic rate and the human body doing work outwards based on the current local skin temperature, the heart rate, the blood pressure and the heat production quantity.
It can be understood that, according to the above embodiment, the human body sign parameters acquired by the intelligent wearable device and the like include the current local skin temperature, heart rate, blood pressure and heat production amount of the human body, and then the human body metabolic rate and the external work done value of the human body are calculated according to the current local skin temperature, heart rate, blood pressure and heat production amount in the step.
S12, based on the human body metabolism rate and the human body doing work externally, calculating the average skin temperature T by using the given human body heat balance modelskAnd said average skin moisture Pwet。
It can be understood that, in this step, the average skin temperature T of the human body when the human body reaches thermal equilibrium under the current indoor environmental condition is calculated according to the human body metabolic rate and the human body external work value obtained in the above stepsskAnd average skin moisture Pwet。
In one embodiment, the given human thermal equilibrium model used for the calculation is a human two-node model proposed by Gagge. Under the calculation model, the following operations are carried out on the average core temperature, the average skin temperature and the average skin wettability of the human body:
the core layer dynamic thermal balance can be expressed as:
the skin layer dynamic thermal equilibrium can be expressed as:
wherein M represents the human energy metabolism rate, EresExpressing the rate of heat dissipation due to respiration, Work expressing the mechanical Work done by the body, KminRepresents the heat transfer coefficient, T, from the core layer to the skin layercrRepresents the core layer temperature, TskDenotes the skin layer temperature, Cbl、Ccr、CskRepresents specific heat, ρ, of blood, core layer and skin layer, respectivelyblDenotes the blood density, mskAnd mcrRespectively representing the mass of the skin and core layers, EskThe heat dissipation device is characterized in that the heat dissipation of skin evaporation is represented, R represents the heat exchange rate of human body and environment radiation, positive values represent heat getting, negative values represent heat dissipation, A represents the area of a human body skin layer, C represents the heat exchange rate of human body and environment convection, positive values represent heat getting, and negative values represent heat dissipation.
The body average skin temperature and body average core temperature can be expressed as:
in the formula, TcrRepresenting the mean core temperature, T, of the human bodyskRepresenting the average skin temperature of the human body.
When the average skin temperature and the average core temperature of the human body deviate from the set values, the human body temperature self-regulation control system regulates the average skin temperature and the average core temperature of the human body through sweating and blood flow speed (blood vessel expansion or contraction). The deviation of the human body average skin temperature and the human body average core temperature from the set point can be expressed as:
δTsk＝Tsk-34.1；
δTcr＝Tcr-36.6。
after the average skin temperature and the average core temperature of the human body deviate from the set values, the blood flow of the skin layer can be expressed as:
Vbl＝[6.3+75(δTcr)]/[1-0.5(δTsk)]；
sweat flow can be expressed as:
mrsw＝250(δTcr)+100(δTcr)(δTsk)；
sweat evaporative heat dissipation can be expressed as:
the skin weight to body weight ratio can be expressed as:
the human skin layer area can be expressed as:
A＝0.202·WEIGHT0.425·HIGH0.725；
wherein WEIGH represents the weight of the human body, and HIGH represents the height of the human body.
Meanwhile, the human body heat balance can be represented by the following formula:
S＝Ssk+Scr＝M-E+R+C-W；
in the formula, S represents the heat storage rate of the human body, M represents the energy metabolism rate of the human body, Work represents the mechanical Work done by the human body, R represents the heat exchange between the human body and the environment through radiation, C represents the heat exchange between the human body and the environment through convection, E represents the evaporation and heat dissipation of the human body, and E represents the evaporation and heat dissipation of the human body.
The human metabolic rate can be expressed as:
wherein RQ represents a respiratory quotient, dimensionless, defined as the ratio of moles of exhaled carbon dioxide to inhaled oxygen per unit time; vO2Represents the volume of oxygen consumed per unit time at 0 ℃ under 101.325 kPa; the general adult sits quietly and works lightly (M)<1.5met) RQ equals 0.83, and at heavy duty (M equals 5.0met) RQ reaches 1.0.
Or looking up a table according to the heart rate value obtained by the test to obtain the corresponding metabolic rate of the human body in different activity states.
Wherein,
E＝Ediff+Eres+Ersw；
in the formula, EdiffIndicating the heat dissipated by diffusion of skin moisture, EresIndicating heat dissipated by breathing, ErswIndicating the amount of heat lost by evaporation of sweat.
Wherein E isres＝0.0023M·(44-RHta·Pta)；
Wherein RH represents the relative humidity, PtaThe saturated water vapor pressure is shown at an air temperature ta deg.C.
Wherein E isdiff＝0.06Emax＝0.06·κ·hc(Psk-RHta·Pta)·Fpcl；
In the formula, EmaxDenotes the maximum heat dissipation of the skin by evaporation,. kappa.denotes the coefficient of Liouyi, hcDenotes the convective heat transfer coefficient, PskIndicating the skin temperature corresponding to partial pressure of water vapour, FpclRepresenting the mass transfer permeability coefficient of the garment.
The skin evaporative heat dissipation can be expressed as:
Esk＝Ediff+Eres。
definition PrswThe ratio of the sweat evaporation heat dissipation capacity to the maximum evaporation heat dissipation capacity of the human skin at a certain time is as follows:
skin moisturization can be expressed as:
Pwet＝0.06+0.94Prsw。
skin evaporative heat dissipation can be expressed as the product of skin wetness and the maximum evaporative heat dissipation of the skin, i.e.:
Esk＝PwetEmax。
the body radiation and convection heat dissipation can be expressed as:
R+C＝h(Tsk-ta)Fcl；
wherein h represents the total equivalent heat transfer coefficient including convection and radiation, FclRepresenting the heat transfer permeability coefficient of the garment.
Then, the average skin wettability PwetCan be expressed as:
in the formula, mrswDenotes the skin sweat flow, κ denotes the coefficient of Lewis, hcDenotes the convective heat transfer coefficient, PskIndicating the skin temperature corresponding to partial pressure of water vapour, FpclRepresenting the mass transfer permeability coefficient of the garment.
In the above embodiment, referring to fig. 3, a flowchart for calculating an optimal comfort index of a user in a method for estimating an optimal thermal comfort of a human body according to an embodiment of the present invention includes:
the local skin temperature T is obtained by testing in a period of timehskAverage skin temperature TskAnd testing the local skin temperature when the human body is neutral in heat and the average skin temperature when the human body is neutral in heat, and calculating the human body heat sensing voting TSV according to the human body heat sensing voting model TSV. The calculation formula of the human body thermal sensation voting model can be as follows:
TSVi＝Ui·(exp(wiΔTi)-1)-(kiΔTi+Ai)·ΔTmean+Bi；
in the formula,. DELTA.TiAnd Δ TmeanRespectively representing the difference between the local skin temperature and its neutral point and the difference between the average skin temperature and its neutral point, Ui、wi、ki、AiAnd BiBoth represent model coefficients.
Utilize-1<TSV<1 and Pwet<30 as a screening condition for the average skin temperature T over the periodskAverage skin moisture PwetAnd real-time historical topical skinTemperature ThskAnd (5) carrying out data screening. Then according to the screened effective average skin temperature, effective average skin moisture and effective real-time historical local skin temperature, respectively carrying out statistics and averaging to obtain an optimal local skin temperature value T representing the optimal thermal comfort of the human bodyhcomOptimum average skin temperature TscomAnd an optimum average skin moisture Pwcom。
In one embodiment, before the step of S2, the method further includes the following steps of selecting the local skin temperature when the human body is neutral in heat and the average skin temperature when the human body is neutral in heat:
according to a plurality of groups of continuously measured human body local skin temperatures, obtaining the test local skin temperature when the human body is thermally neutral through statistical averaging operation;
or, by comparing the 1 st to n-1 st optimal local skin temperature values T in the historical datahcomThe statistical average calculation of the method comprises the steps of obtaining a testing local skin temperature value when the human body is neutral in heat for the nth time, and carrying out step-by-step iterative operation according to the testing local skin temperature value when the human body is neutral in heat for the nth time to obtain the testing local skin temperature when the human body is neutral in heat.
The average skin temperature was taken to be 34.1 ℃ when the human body was thermally neutral.
It can be understood that, when the test local skin temperature is selected when the human body is thermally neutral, on one hand, a plurality of groups of human body local skin temperatures can be continuously measured within a period of time, then the measured human body local skin temperatures are statistically averaged, and the output statistical calculation result is used as the selected test local skin temperature when the human body is thermally neutral.
Alternatively, the optimum local skin temperature value T may be continuously obtainedhcomAnd carrying out statistics and averaging, and carrying out iterative operation according to the statistics and averaging to obtain the local skin temperature when the human body is thermally neutral. I.e. the nth time (n)>100) The calculation of the local skin temperature value for testing when the human body is neutral can utilize the optimal local skin temperature value T for representing the optimal comfort of the individual user for 1 to n-1 times in the historical datahcomPerforming statistical averaging, and calculating the nth timeAnd testing the local skin temperature value when the human body is neutral, testing the local skin temperature when the human body is neutral for the (n-1) th time of the human body, and performing multiple iterative calculations to gradually approach to obtain the final local skin temperature when the human body is neutral.
The average skin temperature of human body when human body is neutral can be average skin surface temperature of human body statistics, and is usually 34.1 deg.C.
Further, on the basis of the above embodiment, before the step of S1, the method further includes a processing flow as shown in fig. 4, which is a flow chart for correcting a given human thermal balance model in a method for estimating optimal thermal comfort of a human body according to an embodiment of the present invention, and includes:
and S01, acquiring the human body physical sign parameters, the real-time indoor environment parameters, the weather forecast outdoor environment parameters and the geographic position information of the human body.
It is understood that before the data operation according to step S1, the data involved in the operation, i.e. the human body physical sign parameters, is obtained. In addition, the given human body heat balance model needs to be corrected in parameters in consideration of the accuracy of data calculation. Specifically, in step S01, real-time indoor environment parameters of the target human body, weather forecast outdoor environment parameters, and geographic location information of the human body are collected, so as to perform parameter correction on the given human body thermal balance model in the following step.
And S02, predicting the thermal resistance of the human clothing based on the weather forecast outdoor environment parameters and the geographical position information of the human body, and correcting the thermal resistance of the human clothing by using the real-time indoor environment parameters.
It can be understood that on the basis of the related data obtained in the above steps, the weather forecast outdoor environment parameters and the geographic position information of the human body are used for predicting the thermal resistance of the human body clothes, and the correction quantity for correcting the given human body thermal balance model parameters is calculated by correcting the real-time indoor environment parameters. That is, the calculation of the thermal resistance of the clothing is performed according to the following equation:
Iclo＝A-B·TOut,m；
in the formula，IcloIndicating the thermal resistance of the garment, Tout，mRepresents the average outdoor air temperature during the day, and A, B represents the calculation coefficient.
And S03, correcting the given human body heat balance model according to the corrected human body clothing thermal resistance.
As another aspect of the embodiment of the present invention, the embodiment provides an air conditioner control method based on the above-mentioned method for estimating the optimal thermal comfort level of the human body, and referring to fig. 5, it is a flowchart of an air conditioner control method based on the estimation of the optimal thermal comfort level of the human body according to the embodiment of the present invention, including:
s4, according to the optimal local skin temperature value ThcomThe optimum average skin temperature TscomAnd said optimal average skin moisturization PwcomAnd adjusting the indoor temperature, the indoor humidity and the air speed of the air conditioner according to the air conditioner operation parameters acquired in real time.
It will be appreciated that the optimal local skin temperature value T is calculated and obtained according to the above-described embodimenthcomOptimum average skin temperature TscomAnd an optimum average skin moisturization PwcomOn the basis, the running state of the indoor air conditioner can be controlled and adjusted according to the group of data and the current air conditioner running parameters, so that the indoor temperature, the indoor humidity and the air conditioner speed are adjusted.
S5, monitoring the current local skin temperature of the human body, the current average skin temperature of the human body and the current average skin moisture degree of the human body in real time to enable the current local skin temperature of the human body to be at the optimal local skin temperature value ThcomAnd the current average skin moisturization of said human body is within said optimal average skin moisturization PwcomWithin a given neighborhood of the mobile station(s),
or, the current average skin temperature of the human body is at the optimal average skin temperature TscomAnd the current average skin moisturization of said human body is within said optimal average skin moisturization PwcomWithin a given neighborhood of the mobile station(s),
or, the current local skin temperature of the human body is at the optimal local skin temperature value ThcomWithin a given neighborhood of the mobile station(s),
or, the current average skin temperature of the human body is at the optimal average skin temperature TscomWithin a given neighborhood of (c).
It can be understood that after the indoor temperature, the indoor humidity and the air conditioning wind speed are adjusted according to the steps, the physical sign parameters, the environmental parameters and the like of the human body are monitored in real time, and the local skin temperature T of the human body obtained through testing is ensuredhskAt ThcomAt and average skin moisture PwetAt PwcomRange of ± Δ P, or, mean skin temperature TskAt TscomAt and average skin moisture PwetAt PwcomIn the range of +/-delta P, or the local skin temperature T of the human bodyhskAt ThcomAt deg.C or mean skin temperature TskAt Tscom±Δt℃。
The air conditioner control method based on the human body optimal thermal comfort estimation provided by the embodiment of the invention can be used for thermal comfort prediction of individual users, adjustment control of personalized air conditioner room parameters and control of intelligent air conditioners. The invention provides a calculation method for representing the optimal human body comfort index and an air conditioner control device using the method, which fully utilize the technology of Internet of things, realize the real-time perception of the thermal comfort of the human body of an individual user by air conditioning equipment, automatically adjust indoor environment parameters according to the cool and warm states of the user obtained by perception and the pre-judgment of the comfortable environment parameter interval of the user, reduce the manual setting of the air conditioner by the user, improve the user experience while realizing the energy-saving operation of the equipment, and solve the problems that the existing air conditioner needs the manual setting of the user and causes air conditioner diseases and high operation power consumption due to the fact that the set temperature is unreasonable and the environment is too cold or too hot.
Further, after the step of S5, the air conditioning control method further includes: monitoring manual regulation behavior feedback of a user on indoor environment parameters, if the manual regulation behavior feedback is active regulation, returning to the step S1, and executing the steps S1 to S5 in a circulating mode until the manual regulation behavior feedback is unregulated.
It will be appreciated that in the above described embodimentsBased on the optimal local skin temperature value ThcomOptimum average skin temperature TscomAnd an optimum average skin moisturization PwcomAfter the operation state of the air conditioner is adjusted, the adjustment behaviors of the user on parameters such as the indoor environment temperature, the indoor environment humidity and the indoor environment wind speed, namely the feedback of the manual adjustment behaviors, are monitored. When the set values of the environmental temperature, the humidity, the wind speed and the like adjusted by the user are detected, the air conditioner is kept to operate according to the set values of the user, actually measured human body sign parameters, indoor environmental parameters and outdoor environmental parameters are recorded, the step S1 is returned, and the local skin temperature value T representing the optimal comfort of the user is recalculated by using the data in a period of time after the parameters are adjusted by the userhcom_setAverage skin temperature Tscom_setAnd average skin moisture Pwcom_setAnd adjusting the indoor environment adjusting equipment to operate according to the updated human body user comfort characteristic value according to the change of the indoor and outdoor environment parameters, namely, circularly executing the steps S1 to S5 until the manual adjusting action is fed back to be unadjusted.
In addition, if the adjustment of the set value of the environmental parameter of the user is not detected within a period of time after the adjustment of the running state of the air conditioner is carried out, the user is judged to be in a human body comfortable environment, and a local skin temperature value T representing the human body comfort is recordedhcomAverage skin temperature TscomAnd average skin moisture PwcomAnd adjusting the operation state of the indoor environment equipment according to the change of the indoor and outdoor environment parameters, namely returning to the step S4 for operation.
To further explain the technical solution of the present invention, the present embodiment provides an optimization scheme as shown in fig. 6, which is a flowchart of another air conditioner control method based on estimation of optimal thermal comfort level of a human body according to the embodiment of the present invention, including:
step 1, acquiring human body sign parameters and position information by using intelligent wearable equipment, and acquiring environmental parameters of the environment where a human body is located, air conditioner operation parameters and outdoor environmental parameters of weather forecast by using an indoor temperature and humidity sensor;
step 2, calculating the human body average of the human body reaching the thermal balance under the current environment state by using the human body thermal balance modelMean core temperature TcrAverage skin temperature TskAverage skin moisture Pwet；
Step 3, testing by using intelligent wearable equipment within a period of time to obtain local skin temperature ThskAverage skin temperature TskAnd testing local skin temperature when human body is neutral, and average skin temperature when human body is neutral, calculating human body heat sensation voting (TSV) according to human body heat sensation voting (TSV) model, and utilizing-1<TSV<1 and Pwet<30 as a screening condition, and performing statistical average analysis on the data screened in the period of time to obtain a local skin temperature value T representing the optimal comfort of an individual userhcomAverage skin temperature TscomAnd average skin moisture PwcomOr the local skin temperature T of the human bodyhskAt ThcomAt deg.C or mean skin temperature TskAt Tscom±Δt℃；
Step 4, according to the obtained indexes representing the optimal comfort of the human body, indoor environment parameters such as indoor temperature, humidity and wind speed are adjusted, and the local skin temperature T of the human body obtained through testing is ensuredhskAt Thcom. + -. Δ t ℃ C, average skin wettability PwetAt PwcomRange of ± Δ P, or mean skin temperature TskAt Tscom. + -. Δ t ℃ C, average skin wettability PwetAt PwcomIn the range of +/-delta P, monitoring human body physical sign parameters, environmental parameters and adjustment behaviors of users on parameters such as indoor environment temperature, humidity and wind speed;
step 5, according to the behavior feedback of the user, when detecting that the user adjusts the set values of the environmental temperature, the humidity, the wind speed and the like, keeping the air conditioner to operate according to the set values of the user, recording the actually measured physical sign parameters of the human body, the indoor environmental parameters and the outdoor environmental parameters, namely returning to the step 1, and recalculating the local skin temperature value T representing the optimal comfort of the user by using the data in a period of time after the user adjusts the parametershcom_setAverage skin temperature Tscom_setAnd average skin moisture Pwcom_setAnd adjusting the indoor environment adjusting equipment according to the change of the indoor and outdoor environmental parametersThe human body user comfort characteristic value is operated; when the indoor air-conditioning equipment operates according to the parameters set in the step 4 and the user does not adjust the set values of the environmental parameters within a period of time, confirming that the user is in a human body comfortable environment, and recording a local skin temperature value T representing the human body comforthcomAverage skin temperature TscomAnd average skin moisture PwcomAnd adjusting the running state of the indoor environmental equipment according to the change of the indoor and outdoor environmental parameters, namely returning to the step 4 for running.
As another aspect of the embodiment of the present invention, the present embodiment provides an apparatus for estimating optimal thermal comfort of a human body, and referring to fig. 7, the apparatus is a block diagram of the apparatus for estimating optimal thermal comfort of a human body according to the embodiment of the present invention, and includes: at least one memory 701, at least one processor 702, a communications interface 703, and a bus 704.
The memory 701, the processor 702 and the communication interface 703 complete mutual communication through a bus 704, and the communication interface 703 is used for information transmission between the estimation device and the human body sign parameter acquisition device, the real-time indoor environment parameter acquisition device, the geographic position information acquisition device where the human body is located and the communication interface of the weather forecast system; the memory 701 stores a computer program that can be executed on the processor 702, and the processor 702 executes the computer program to implement the method for estimating the optimal thermal comfort level of the human body according to the above-mentioned embodiments.
It is understood that the apparatus for estimating the optimal thermal comfort level of the human body at least comprises a memory 701, a processor 702, a communication interface 703 and a bus 704, and the memory 701, the processor 702 and the communication interface 703 are communicatively connected to each other through the bus 704 and can perform communication with each other.
The communication interface 703 realizes communication connection between the optimal human thermal comfort estimation device and the human physical sign parameter acquisition device, the real-time indoor environment parameter acquisition device, the geographic location information acquisition device where the human body is located, and the weather forecast system, and can complete mutual information transmission, such as acquiring human physical sign parameters, real-time indoor environment parameters, etc. through the communication interface 703.
Optimal heat of human bodyWhen the comfort level estimation device is running, the processor 702 calls the program instructions in the memory 701 to execute the method provided by each of the above embodiments of the method for estimating the optimal thermal comfort level of the human body, including: based on human body physical sign parameters acquired in real time, the average skin temperature T when the human body reaches thermal balance under the indoor environment parameters of the human body is calculated by using a given human body thermal balance modelskAnd average skin moisture Pwet(ii) a And predicting the thermal resistance of the human body clothing based on the weather forecast outdoor environment parameters and the geographic position information of the human body, and correcting the thermal resistance of the human body clothing by using the real-time indoor environment parameters.
In another embodiment of the present invention, a non-transitory computer-readable storage medium is provided, which stores computer instructions that cause the computer to perform the estimation of the optimal thermal comfort of the human body as described in the above embodiments.
It is understood that the logic instructions in the memory 701 may be implemented in software functional units, and may be stored in a computer readable storage medium when sold or used as a stand-alone product. Alternatively, all or part of the steps of implementing the method embodiments may be implemented by hardware related to program instructions, where the program may be stored in a computer-readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.
The above described embodiments of the apparatus for estimating an optimal thermal comfort level of a human body are merely illustrative, wherein the units illustrated as separate parts may or may not be physically separate, may be located in one place, or may be distributed over different network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. Based on such understanding, the above technical solutions may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as a usb disk, a removable hard disk, a ROM, a RAM, a magnetic or optical disk, etc., and includes several instructions for enabling a computer device (such as a personal computer, a server, or a network device, etc.) to execute the method according to each embodiment of the above human body optimal thermal comfort level estimation method or some portions of the embodiments of the method.
The device for estimating the optimal thermal comfort of the human body and the non-transitory computer readable storage medium provided by the embodiment of the invention utilize the intelligent wearable device to obtain physical sign parameters of the human body by developing a corresponding computer program, and calculate the average core temperature T of the human body reaching the thermal balance through a human body thermal balance modelcrAverage skin temperature TskAverage skin moisture PwetAnd predicting the thermal sensation voting TSV of the human body to the environment by using the local skin temperature and the average skin temperature of the human body tested by the intelligent wearable device, and analyzing to obtain the index representing the optimal thermal comfort of the human body by using the human body thermal sensation voting and the human body skin humidity as screening conditions. The air conditioner can accurately sense the thermal comfort state of the human body in real time, realize automatic individualized indoor environment parameter adjustment of different users, ensure the comfort of the human body and reduce human intervention and energy consumption.
As another aspect of the embodiment of the present invention, the present embodiment provides an air conditioning control device based on estimation of optimal thermal comfort level of a human body, and referring to fig. 8, a schematic structural diagram of an air conditioning control device based on estimation of optimal thermal comfort level of a human body according to an embodiment of the present invention includes: an air conditioning operation adjusting device 801, a human body thermal comfort monitoring device 802, and at least one human body optimal thermal comfort estimating device 803 as described above. Wherein,
air conditioner operation adjusting deviceMeans 801 for determining said optimal local skin temperature value ThcomThe optimum average skin temperature TscomAnd said optimal average skin moisturization PwcomAnd the real-time acquired air conditioner operation parameters are used for adjusting the indoor temperature, the indoor humidity and the air conditioner wind speed;
the human thermal comfort monitoring device 802 is configured to monitor a current local skin temperature of a human body, a current average skin temperature of the human body, and a current average skin moisture of the human body in real time such that the current local skin temperature of the human body is at the optimal local skin temperature value ThcomAnd the current average skin moisturization of said human body is within said optimal average skin moisturization PwcomOr the current average skin temperature of the human body is within the given neighborhood of (A), or the current average skin temperature of the human body is at the optimal average skin temperature TscomAnd the current average skin moisturization of said human body is within said optimal average skin moisturization PwcomOr the current local skin temperature of the human body is within the optimal local skin temperature value ThcomOr the current average skin temperature of the human body is within the given neighborhood of (A), or the current average skin temperature of the human body is at the optimal average skin temperature TscomWithin a given neighborhood of (c).
It can be understood that the optimal local skin temperature value T is calculated and obtained by the human body optimal thermal comfort level estimation device 803 according to the above embodimenthcomOptimum average skin temperature TscomAnd an optimum average skin moisturization PwcomBased on the set of data and the current air conditioner operation parameters, the air conditioner operation adjusting device 801 controls and adjusts the operation state of the indoor air conditioner, so as to adjust the indoor temperature, the indoor humidity and the air conditioner wind speed, so that: the current local skin temperature of the human body is at the optimal local skin temperature value ThcomAnd the current average skin wetness of the human body is within the optimal average skin wetness PwcomWithin a given neighborhood of (c); alternatively, the current average skin temperature of the human body is at the optimum average skin temperature TscomAnd the current average skin wetness of the human body is within the optimal average skin wetness PwcomWithin a given neighborhood of (c); or, the skin of the current part of the human bodySkin temperature at optimum local skin temperature value ThcomWithin a given neighborhood of (c); alternatively, the current average skin temperature of the human body is at the optimum average skin temperature TscomWithin a given neighborhood of (c).
Correspondingly, after the air-conditioning operation adjusting device 801 is used for adjusting the indoor temperature, the indoor humidity and the air-conditioning wind speed, the human thermal comfort monitoring device 802 monitors human physical sign parameters, environmental parameters and the like in real time, and ensures the tested local skin temperature T of the human bodyhskAt ThcomAt and average skin moisture PwetAt PwcomRange of ± Δ P, or, mean skin temperature TskAt TscomAt and average skin moisture PwetAt PwcomIn the range of +/-delta P, or the local skin temperature T of the human bodyhskAt ThcomAt deg.C or mean skin temperature TskAt Tscom±Δt℃。
To further illustrate the technical solution of the present invention, this embodiment provides an optimization scheme as shown in fig. 9, which is a schematic structural diagram of another air conditioner control device based on estimation of optimal human thermal comfort according to an embodiment of the present invention, in which a human optimal thermal comfort estimation device 803 is in communication connection with an intelligent wearable device, an indoor and outdoor temperature and humidity sensor, an air conditioner operation adjustment device 801 and a human thermal comfort monitoring device 802, the human optimal thermal comfort estimation device 803 further includes a sign parameter calculation module, a data statistics analysis module, a user behavior analysis module and a data storage module, the air conditioner operation adjustment device 801 further includes an environmental parameter adjustment module, and the intelligent wearable device and the indoor and outdoor temperature and humidity sensor include parameter measurement modules.
The function of the parameter measuring module is realized by intelligent wearable equipment and indoor and outdoor temperature and humidity sensors, the function of the sign parameter calculating module, the function of the data statistical analysis module and the function of the user behavior analysis module are realized by a local server or a cloud server, and the function of the environment parameter adjusting module is realized by a controller of an air conditioner.
It should be understood that, in the embodiment of the present invention, the relevant functional module may be implemented by a hardware processor (hardware processor).
In addition, an embodiment of the present invention further provides an intelligent wearing system for estimating optimal thermal comfort of a human body as shown in fig. 10, where fig. 10 is a schematic structural diagram of an intelligent wearing system for estimating optimal thermal comfort of a human body according to an embodiment of the present invention, and includes a charging device and an apparatus main body formed by the apparatus for estimating optimal thermal comfort of a human body as described in the foregoing embodiment. The equipment main body is internally provided with a human body physiological parameter detection unit, an environmental parameter detection unit, a GPS positioning unit, a signal processing unit, a data storage unit, a display unit, a wireless communication unit, an interface unit and a battery unit. Wherein:
the human body physiological parameter detection unit is used for detecting physiological parameter detection signals of a human body, including heart rate, blood pressure, skin temperature, respiratory skin current response and heat production quantity, and uploading the physiological parameter detection signals to the signal processing unit;
the environment parameter detection unit is used for detecting environment parameter detection signals including temperature, humidity, illumination intensity and PM2.5 particulate matter concentration of a human body and uploading the environment parameter detection signals to the signal processing unit;
the GPS positioning unit is used for detecting the geographic position information of the human body and uploading the geographic position information to the signal processing unit;
the signal processing unit is used for processing the physiological parameter detection signal, the environmental parameter detection signal and the geographical position information to generate detection data, storing the detection data in the data storage unit, displaying the detection data in real time through the display unit and outputting the detection data to the outside through the wireless communication unit;
the battery unit is used for providing electric energy for each subunit included in the equipment main body;
the interface unit is used for providing an interface for program debugging of the equipment main body and charging of the battery unit.
Wherein, the human physiological parameter detecting unit further comprises: the device comprises an optical heart rate monitor, a body temperature sensor, a three-axis acceleration sensor, a skin electric reaction sensor and a bioelectrical impedance sensor, and is used for detecting the heart rate, the skin temperature, the respiratory skin current reaction of a user, the heat parameters generated by a human body and the like.
Wherein, the environment parameter detecting unit further comprises: the environment temperature and humidity sensor, the light and ultraviolet sensor and the PM2.5 sensor are used for detecting environment parameters such as the temperature, the humidity, the illumination intensity and the PM2.5 particulate matter concentration of the environment where a user is located.
To sum up, the air conditioner control method and device based on the estimation of the optimal thermal comfort level of the human body provided by the embodiment of the invention utilize the intelligent wearable device to obtain the physical sign parameters of the human body, and calculate the average core temperature T of the human body when the human body reaches the thermal balance through the thermal balance modelcrAverage skin temperature TskAnd average skin moisture PwetThrough data mining technology, internet of things, realize air conditioning equipment to the real-time perception of individual user's human thermal comfort, and according to the user's that the perception obtained cold-warm state and the comfortable environmental parameter interval of prejudgement user, automatically regulated indoor environmental parameter, reduce the manual setting of user to the air conditioner, promote user experience when realizing the energy-conserving operation of equipment, it needs the manual setting of user and because of setting up the environment subcooling or overheated that the temperature is unreasonable to lead to solve current air conditioner, cause the problem that air conditioner disease and operation power consumption are high.
In addition, it should be understood by those skilled in the art that the terms "comprises," "comprising," or any other variation thereof, in the specification of the present invention, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
In the description of the present invention, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description. Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects.
However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (12)

1. A method for estimating optimal thermal comfort of a human body is characterized by comprising the following steps:
s1, based on the human body physical sign parameters obtained in real time, calculating the average skin temperature T when the human body reaches the heat balance under the indoor environment parameters of the human body by using the given human body heat balance modelskAnd average skin moisture Pwet；
S2, based on the average skin temperature T at each corresponding time in a given historical periodskAnd real-time historical local skin temperature ThskAnd a personTesting local skin temperature when body heat is neutral and average skin temperature when body heat is neutral, and respectively calculating human body heat sensation voting TSV at each corresponding moment by using a human body heat sensation voting model;
s3, using the screening condition based on average skin wettability and human body heat sensation voting, obtaining the average skin temperature T from each corresponding time in the given historical time periodskThe average skin wettability PwetAnd said real-time historical local skin temperature ThskScreening effective human body heat index parameters, carrying out statistical average analysis on the effective human body heat index parameters, and obtaining an optimal local skin temperature value T representing the optimal heat comfort level of a human bodyhcomOptimum average skin temperature TscomAnd an optimum average skin moisture Pwcom。
2. The method according to claim 1, wherein the human body sign parameters specifically include: the current local skin temperature, heart rate, blood pressure and heat production of the human body;
accordingly, the step of S1 further includes:
determining the metabolism rate of the human body and the external work of the human body based on the current local skin temperature, the heart rate, the blood pressure and the heat production quantity;
calculating the average skin temperature T using the given human thermal balance model based on the human metabolic rate and the human external workskAnd said average skin moisture Pwet。
3. The method of claim 1, further comprising, before the step of S1:
acquiring the human body physical sign parameters, the real-time indoor environment parameters, the weather forecast outdoor environment parameters and the geographic position information of the human body;
predicting the thermal resistance of the human body clothing based on the weather forecast outdoor environment parameters and the geographic position information of the human body, and correcting the thermal resistance of the human body clothing by using the real-time indoor environment parameters;
and correcting the given human body heat balance model based on the corrected human body clothing thermal resistance.
4. The method according to claim 1, wherein the screening conditions based on average skin wettability and human heat sensation voting are specifically:
-1<TSV<1 and Pwet<30；
Or, -1<TSV<1 or Pwet<30。
5. The method of claim 1, further comprising, before the step of S2:
according to a plurality of groups of continuously measured human body local skin temperatures, obtaining the test local skin temperature when the human body is thermally neutral through statistical averaging operation;
or, by comparing the 1 st to n-1 st optimal local skin temperature values T in the historical datahcomThe statistical average calculation of (1) obtaining a test local skin temperature value when the human body is neutral in heat for the nth time, and performing step-by-step iterative operation according to the test local skin temperature value when the human body is neutral in heat for the nth time to obtain the test local skin temperature when the human body is neutral in heat;
the average skin temperature was taken to be 34.1 ℃ when the human body was thermally neutral.
6. The method according to claim 2, characterized in that the given human thermal balance model is in particular a human two-node model.
7. An air conditioning control method based on the human body optimal thermal comfort estimation method according to any one of claims 1 to 6, comprising:
s4, according to the optimal local skin temperature value ThcomThe optimum average skin temperature TscomAnd said optimal average skin moisturization PwcomAnd real-time acquired air conditioner operation parameters, indoor temperature, indoor humidity and air conditioner wind speed；
S5, monitoring the current local skin temperature of the human body, the current average skin temperature of the human body and the current average skin moisture degree of the human body in real time to enable the current local skin temperature of the human body to be at the optimal local skin temperature value ThcomAnd the current average skin moisturization of said human body is within said optimal average skin moisturization PwcomWithin a given neighborhood of the mobile station(s),
or, the current average skin temperature of the human body is at the optimal average skin temperature TscomAnd the current average skin moisturization of said human body is within said optimal average skin moisturization PwcomWithin a given neighborhood of the mobile station(s),
or, the current local skin temperature of the human body is at the optimal local skin temperature value ThcomWithin a given neighborhood of the mobile station(s),
or, the current average skin temperature of the human body is at the optimal average skin temperature TscomWithin a given neighborhood of (c).
8. The air conditioner controlling method according to claim 7, further comprising, after the step of S5:
monitoring manual regulation behavior feedback of a user on indoor environment parameters, if the manual regulation behavior feedback is active regulation, returning to the step S1, and executing the steps S1 to S5 in a circulating mode until the manual regulation behavior feedback is unregulated.
9. An apparatus for estimating optimal thermal comfort of a human body, comprising: at least one memory, at least one processor, a communication interface, and a bus;
the memory, the processor and the communication interface complete mutual communication through the bus, and the communication interface is used for information transmission between the estimation equipment and the human body sign parameter acquisition equipment, the real-time indoor environment parameter acquisition equipment, the geographic position information acquisition equipment where the human body is located and the communication interface of the weather forecast system;
the memory stores a computer program operable on the processor, which when executed implements the method of any of claims 1 to 6.
10. An intelligent wearing system for estimating the optimal thermal comfort of a human body, comprising a charging device and an apparatus main body composed of the device for estimating the optimal thermal comfort of a human body according to claim 9, wherein the apparatus main body comprises: the device comprises a human body physiological parameter detection unit, an environmental parameter detection unit, a GPS positioning unit, a signal processing unit, a data storage unit, a display unit, a wireless communication unit, an interface unit and a battery unit; wherein,
the human body physiological parameter detection unit is used for detecting physiological parameter detection signals of a human body, including heart rate, blood pressure, skin temperature, respiratory skin current response and heat production quantity, and uploading the physiological parameter detection signals to the signal processing unit;
the environment parameter detection unit is used for detecting environment parameter detection signals including temperature, humidity, illumination intensity and PM2.5 particulate matter concentration of a human body and uploading the environment parameter detection signals to the signal processing unit;
the GPS positioning unit is used for detecting the geographic position information of the human body and uploading the geographic position information to the signal processing unit;
the signal processing unit is used for processing the physiological parameter detection signal, the environmental parameter detection signal and the geographical position information to generate detection data, storing the detection data in the data storage unit, displaying the detection data in real time through the display unit and outputting the detection data to the outside through the wireless communication unit;
the battery unit is used for providing electric energy for each subunit included in the equipment main body;
the interface unit is used for providing an interface for program debugging of the equipment main body and charging of the battery unit.
11. The smart wearable system according to claim 10, wherein the human physiological parameter detecting unit further comprises: the device comprises an optical heart rate monitor, a body temperature sensor, a three-axis acceleration sensor, a skin electric reaction sensor and a bioelectrical impedance sensor;
the environment parameter detection unit further includes: an ambient temperature and humidity sensor, a light and ultraviolet sensor and a PM2.5 sensor.
12. An air conditioning control device based on estimation of optimal thermal comfort of a human body, comprising: an air conditioning operation adjusting device, a human body thermal comfort monitoring device and at least one human body optimal thermal comfort estimating device according to claim 9;
the air conditioner operation adjusting device is used for adjusting the optimal local skin temperature value T according to the optimal local skin temperature value ThcomThe optimum average skin temperature TscomAnd said optimal average skin moisturization PwcomAnd the real-time acquired air conditioner operation parameters are used for adjusting the indoor temperature, the indoor humidity and the air conditioner wind speed;
the human thermal comfort monitoring equipment is used for monitoring the current local skin temperature of the human body, the current average skin temperature of the human body and the current average skin moisture of the human body in real time to enable the current local skin temperature of the human body to be at the optimal local skin temperature value ThcomAnd the current average skin moisturization of said human body is within said optimal average skin moisturization PwcomOr the current average skin temperature of the human body is within the given neighborhood of (A), or the current average skin temperature of the human body is at the optimal average skin temperature TscomAnd the current average skin moisturization of said human body is within said optimal average skin moisturization PwcomOr the current local skin temperature of the human body is within the optimal local skin temperature value ThcomOr the current average skin temperature of the human body is within the given neighborhood of (A), or the current average skin temperature of the human body is at the optimal average skin temperature TscomWithin a given neighborhood of (c).
CN201810430982.6A 2018-05-08 2018-05-08 Method and device for estimating optimal thermal comfort of human body and air conditioner control method and device Active CN110454930B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810430982.6A CN110454930B (en) 2018-05-08 2018-05-08 Method and device for estimating optimal thermal comfort of human body and air conditioner control method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810430982.6A CN110454930B (en) 2018-05-08 2018-05-08 Method and device for estimating optimal thermal comfort of human body and air conditioner control method and device

Publications (2)

Publication Number Publication Date
CN110454930A true CN110454930A (en) 2019-11-15
CN110454930B CN110454930B (en) 2020-10-30

Family

ID=68472106

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810430982.6A Active CN110454930B (en) 2018-05-08 2018-05-08 Method and device for estimating optimal thermal comfort of human body and air conditioner control method and device

Country Status (1)

Country Link
CN (1) CN110454930B (en)

Cited By (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111079264A (en) * 2019-11-25 2020-04-28 香港城市大学成都研究院 Thermal comfort modeling method based on expansion factor and prediction average voting value
CN111141284A (en) * 2019-12-28 2020-05-12 西安交通大学 Intelligent building personnel thermal comfort level and thermal environment management system and method
CN112141313A (en) * 2020-09-27 2020-12-29 武汉第二船舶设计研究所(中国船舶重工集团公司第七一九研究所) Cabin environment control method and system for multi-seaman customization
CN112303841A (en) * 2020-09-22 2021-02-02 株洲麦格米特电气有限责任公司 Intelligent household control method and device, controller and computer readable storage medium
CN112923529A (en) * 2021-01-25 2021-06-08 浙江理工大学 Heating air conditioner temperature regulation and control method and system based on thermal history
CN112923530A (en) * 2021-01-25 2021-06-08 浙江理工大学 Intelligent temperature control method and system based on human body thermal sensation
CN112959869A (en) * 2021-03-15 2021-06-15 北京车和家信息技术有限公司 Vehicle air conditioner control method, device, equipment, storage medium and vehicle
CN113176321A (en) * 2021-04-23 2021-07-27 宁波奥克斯电气股份有限公司 Cortisol immune functionalized electrode, preparation method thereof and air conditioning system
CN113465137A (en) * 2021-04-29 2021-10-01 青岛海尔空调器有限总公司 Intelligent control method and device for air conditioner, electronic equipment and storage medium
CN113456025A (en) * 2021-06-08 2021-10-01 合肥磐芯电子有限公司 Human body state information acquisition device based on single chip microcomputer
CN113627448A (en) * 2020-05-07 2021-11-09 香港大学浙江科学技术研究院 Method for constructing human body thermal comfort prediction model, prediction method and system
CN113865038A (en) * 2021-08-18 2021-12-31 清华大学 Air conditioner control method and device, air conditioner and storage medium
WO2022028063A1 (en) * 2020-08-07 2022-02-10 广东美的制冷设备有限公司 Temperature and humidity comprehensive adjustment control method, and adjustment device, adjustment system and medium
WO2022041988A1 (en) * 2020-08-28 2022-03-03 青岛海尔空调器有限总公司 Smart control method and smart control device for air conditioner
CN114517976A (en) * 2022-04-02 2022-05-20 重庆大学 Air conditioner control system and control method based on human body thermal response biochemical index detection
CN114528776A (en) * 2022-01-11 2022-05-24 苏州大学 Method for judging dressing comfort and method for selecting clothing with dressing comfort
CN114537086A (en) * 2022-03-03 2022-05-27 苏州肯派森智能科技有限公司 Vehicle intelligent air conditioner control system and method and vehicle
CN114587271A (en) * 2022-01-25 2022-06-07 陈智博 Sweat detection device and sweat detection method
CN114636232A (en) * 2022-03-18 2022-06-17 青岛海尔空调器有限总公司 Method, apparatus and storage medium for correcting thermal comfort model
CN114646125A (en) * 2022-03-18 2022-06-21 青岛海尔空调器有限总公司 Method, apparatus and storage medium for correcting thermal comfort model
CN115078636A (en) * 2022-06-01 2022-09-20 中纺协检验（泉州）技术服务有限公司 Ready-made clothes heat preservation performance test method
CN116085952A (en) * 2023-01-30 2023-05-09 武汉大学 Energy-saving calculation method, energy-saving controller, terminal and medium for split air conditioner
CN117346271A (en) * 2023-12-04 2024-01-05 常州永佳软件技术有限公司 Indoor environment management and control system and method based on visual ai deep learning
WO2024188363A1 (en) * 2023-03-14 2024-09-19 周舟科技(江苏无锡)有限公司 Air conditioner temperature adjustment method and system, device, and medium

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004139582A (en) * 2002-09-25 2004-05-13 Asahi Glass Co Ltd Warmth amenity performance evaluation method of structure, design support method of structure taking body warmth amenity into consideration, program, and system
US20080243027A1 (en) * 2007-03-27 2008-10-02 Kabushiki Kaisha Toshiba Thermal sensation determining apparatus and method, and air-conditioning control apparatus using thermal sensation determination result
US20100246632A1 (en) * 2009-03-24 2010-09-30 Kabushiki Kaisha Toyota Chuo Kenkyusho Thermal fatigue testing device and recording medium recorded with a program
CN102778002A (en) * 2012-07-09 2012-11-14 广东美的电器股份有限公司 Air conditioner for controlling thermal comfort feeling of human body and control method
CN104456841A (en) * 2014-11-13 2015-03-25 重庆大学 Thermal and humid environment integrated control air-conditioning system and method based on thermal comfort evaluation
CN104490371A (en) * 2014-12-30 2015-04-08 天津大学 Heat comfort detection method based on physiological parameters of human body
CN104633866A (en) * 2015-02-15 2015-05-20 重庆大学 Thermal comfort degree evaluating system based on environmental parameters and human body physiological parameters
CN105371897A (en) * 2015-12-04 2016-03-02 深圳市建筑科学研究院股份有限公司 Outdoor thermal comfort monitoring system and monitoring method thereof
CN106156412A (en) * 2016-06-24 2016-11-23 华南理工大学 A kind of calculate the method for movement human hot comfort scope in the gymnasium of damp-heat area
CN106840257A (en) * 2017-01-22 2017-06-13 中国标准化研究院 A kind of method for evaluating male individual sleep state thermal comfort

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004139582A (en) * 2002-09-25 2004-05-13 Asahi Glass Co Ltd Warmth amenity performance evaluation method of structure, design support method of structure taking body warmth amenity into consideration, program, and system
US20080243027A1 (en) * 2007-03-27 2008-10-02 Kabushiki Kaisha Toshiba Thermal sensation determining apparatus and method, and air-conditioning control apparatus using thermal sensation determination result
US20100246632A1 (en) * 2009-03-24 2010-09-30 Kabushiki Kaisha Toyota Chuo Kenkyusho Thermal fatigue testing device and recording medium recorded with a program
CN102778002A (en) * 2012-07-09 2012-11-14 广东美的电器股份有限公司 Air conditioner for controlling thermal comfort feeling of human body and control method
CN104456841A (en) * 2014-11-13 2015-03-25 重庆大学 Thermal and humid environment integrated control air-conditioning system and method based on thermal comfort evaluation
CN104490371A (en) * 2014-12-30 2015-04-08 天津大学 Heat comfort detection method based on physiological parameters of human body
CN104633866A (en) * 2015-02-15 2015-05-20 重庆大学 Thermal comfort degree evaluating system based on environmental parameters and human body physiological parameters
CN105371897A (en) * 2015-12-04 2016-03-02 深圳市建筑科学研究院股份有限公司 Outdoor thermal comfort monitoring system and monitoring method thereof
CN106156412A (en) * 2016-06-24 2016-11-23 华南理工大学 A kind of calculate the method for movement human hot comfort scope in the gymnasium of damp-heat area
CN106840257A (en) * 2017-01-22 2017-06-13 中国标准化研究院 A kind of method for evaluating male individual sleep state thermal comfort

Cited By (36)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111079264B (en) * 2019-11-25 2023-11-14 香港城市大学成都研究院 Thermal comfort modeling method based on expansion factors and predicted average voting values
CN111079264A (en) * 2019-11-25 2020-04-28 香港城市大学成都研究院 Thermal comfort modeling method based on expansion factor and prediction average voting value
CN111141284A (en) * 2019-12-28 2020-05-12 西安交通大学 Intelligent building personnel thermal comfort level and thermal environment management system and method
CN113627448A (en) * 2020-05-07 2021-11-09 香港大学浙江科学技术研究院 Method for constructing human body thermal comfort prediction model, prediction method and system
WO2022028063A1 (en) * 2020-08-07 2022-02-10 广东美的制冷设备有限公司 Temperature and humidity comprehensive adjustment control method, and adjustment device, adjustment system and medium
CN114061038B (en) * 2020-08-07 2023-01-24 广东美的制冷设备有限公司 Temperature and humidity comprehensive regulation control method, regulation equipment, regulation system and medium
CN114061038A (en) * 2020-08-07 2022-02-18 广东美的制冷设备有限公司 Temperature and humidity comprehensive regulation control method, regulation equipment, regulation system and medium
WO2022041988A1 (en) * 2020-08-28 2022-03-03 青岛海尔空调器有限总公司 Smart control method and smart control device for air conditioner
CN112303841A (en) * 2020-09-22 2021-02-02 株洲麦格米特电气有限责任公司 Intelligent household control method and device, controller and computer readable storage medium
CN112141313A (en) * 2020-09-27 2020-12-29 武汉第二船舶设计研究所(中国船舶重工集团公司第七一九研究所) Cabin environment control method and system for multi-seaman customization
CN112141313B (en) * 2020-09-27 2022-06-03 武汉第二船舶设计研究所(中国船舶重工集团公司第七一九研究所) Cabin environment control method and system for multi-seaman customization
CN112923530B (en) * 2021-01-25 2022-05-27 浙江理工大学 Intelligent temperature control method and system based on human body thermal sensation
CN112923529A (en) * 2021-01-25 2021-06-08 浙江理工大学 Heating air conditioner temperature regulation and control method and system based on thermal history
CN112923530A (en) * 2021-01-25 2021-06-08 浙江理工大学 Intelligent temperature control method and system based on human body thermal sensation
CN112923529B (en) * 2021-01-25 2022-05-27 浙江理工大学 Heating air conditioner temperature regulation and control method and system based on thermal history
CN112959869A (en) * 2021-03-15 2021-06-15 北京车和家信息技术有限公司 Vehicle air conditioner control method, device, equipment, storage medium and vehicle
CN113176321A (en) * 2021-04-23 2021-07-27 宁波奥克斯电气股份有限公司 Cortisol immune functionalized electrode, preparation method thereof and air conditioning system
CN113465137A (en) * 2021-04-29 2021-10-01 青岛海尔空调器有限总公司 Intelligent control method and device for air conditioner, electronic equipment and storage medium
CN113456025A (en) * 2021-06-08 2021-10-01 合肥磐芯电子有限公司 Human body state information acquisition device based on single chip microcomputer
CN113456025B (en) * 2021-06-08 2024-05-24 合肥磐芯电子有限公司 Human body state information acquisition device based on singlechip
CN113865038A (en) * 2021-08-18 2021-12-31 清华大学 Air conditioner control method and device, air conditioner and storage medium
CN114528776A (en) * 2022-01-11 2022-05-24 苏州大学 Method for judging dressing comfort and method for selecting clothing with dressing comfort
CN114587271A (en) * 2022-01-25 2022-06-07 陈智博 Sweat detection device and sweat detection method
CN114537086A (en) * 2022-03-03 2022-05-27 苏州肯派森智能科技有限公司 Vehicle intelligent air conditioner control system and method and vehicle
CN114537086B (en) * 2022-03-03 2024-05-31 重庆德力达新能源科技有限公司 Intelligent air conditioner control system and method for vehicle and vehicle
CN114636232A (en) * 2022-03-18 2022-06-17 青岛海尔空调器有限总公司 Method, apparatus and storage medium for correcting thermal comfort model
CN114646125A (en) * 2022-03-18 2022-06-21 青岛海尔空调器有限总公司 Method, apparatus and storage medium for correcting thermal comfort model
CN114636232B (en) * 2022-03-18 2024-05-24 青岛海尔空调器有限总公司 Method, apparatus and storage medium for correcting thermal comfort model
CN114646125B (en) * 2022-03-18 2024-05-24 青岛海尔空调器有限总公司 Method, apparatus and storage medium for correcting thermal comfort model
CN114517976A (en) * 2022-04-02 2022-05-20 重庆大学 Air conditioner control system and control method based on human body thermal response biochemical index detection
CN115078636A (en) * 2022-06-01 2022-09-20 中纺协检验（泉州）技术服务有限公司 Ready-made clothes heat preservation performance test method
CN116085952B (en) * 2023-01-30 2024-02-23 武汉大学 Energy-saving calculation method, energy-saving controller, terminal and medium for split air conditioner
CN116085952A (en) * 2023-01-30 2023-05-09 武汉大学 Energy-saving calculation method, energy-saving controller, terminal and medium for split air conditioner
WO2024188363A1 (en) * 2023-03-14 2024-09-19 周舟科技(江苏无锡)有限公司 Air conditioner temperature adjustment method and system, device, and medium
CN117346271B (en) * 2023-12-04 2024-02-02 常州永佳软件技术有限公司 Indoor environment management and control system and method based on visual ai deep learning
CN117346271A (en) * 2023-12-04 2024-01-05 常州永佳软件技术有限公司 Indoor environment management and control system and method based on visual ai deep learning

Also Published As

Publication number Publication date
CN110454930B (en) 2020-10-30

Similar Documents

Publication Publication Date Title
CN110454930B (en) Method and device for estimating optimal thermal comfort of human body and air conditioner control method and device
US11315295B2 (en) Comfort level display apparatus that generates correlation information between user comfort levels and temperature changes
US20170123442A1 (en) System and Method of Smart and Energy-Saving Environmental Control
CN105387557A (en) Method and device for controlling room temperature and humidity
CN105020836B (en) The pleasant climate method and device of air conditioner
CN106123206A (en) A kind of method and system adjusting ambient heat
US10660450B2 (en) Air-conditioning control method and air-conditioning control system for in-bed air conditioning
CN112032971B (en) Indoor thermal environment regulation and control method based on heart rate monitoring
JP2016057057A (en) Energy management system
JP2006194540A (en) Air-conditioning control method using hot/cold feeling predicted value, air conditioner, program for air conditioner, and server device
CN112254287B (en) Variable-weight multi-model comprehensive prediction central air conditioner tail end air supply control method
WO2018037584A1 (en) Information processing device and program
CN111854076B (en) Self-adjustment control method and system based on indoor load and comfort level
KR20180025407A (en) Method, apparatus and computer program for controlling heating and cooling using by predicted mean vote
JP2015111019A (en) Air-conditioning system, air-conditioner control device, control method, and program
EP3502582B1 (en) Method for controlling a hvac-apparatus, control unit and use of a control unit
CN109579237A (en) Air conditioner temperature controlling method, storage medium and air-conditioning
CN106705380A (en) Indoor air temperature setting method and device of central air conditioner system
CN112032970A (en) Intelligent air conditioner regulation and control method based on body surface temperature monitoring
CN112178785A (en) Dehumidification control method and dehumidification control equipment for air conditioner
US20240142129A1 (en) Air-conditioning device and control system
JPWO2020021972A1 (en) Thermal environment control device, thermal environment control system and thermal environment control method
CN109210678B (en) Air conditioner control method and device, storage medium and air conditioner
CN110006145B (en) Air conditioning equipment control method and device based on environment and body surface temperature and humidity
CN113495119A (en) Intelligent terminal and intelligent household air environment assessment method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant