CN116123699A - Air conditioner control method and system based on human body thermal comfort prediction - Google Patents
Air conditioner control method and system based on human body thermal comfort prediction Download PDFInfo
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- 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
- F24F11/89—Arrangement or mounting of control or safety devices
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- 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
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/46—Improving electric energy efficiency or saving
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- 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
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- 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
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- F24F11/63—Electronic processing
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- 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
- F24F11/65—Electronic processing for selecting an operating mode
- F24F11/67—Switching between heating and cooling modes
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- 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
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- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
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- 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
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- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
- F24F11/86—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling compressors within refrigeration or heat pump circuits
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
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Abstract
The application discloses an air conditioner control method and system based on human body thermal comfort prediction, wherein the method comprises the following steps:collecting fixed data and current environment data; obtaining a human thermal comfort prediction result based on the fixed data and the environmental data; and performing air conditioning adjustment based on the human thermal comfort prediction result. The application is based on a predictive heat stress model (PHS) and thermodynamics
Theory establishes human body
The balance equation can reflect the energy balance between the human body and the environment from the two aspects of 'quantity' and 'quality', is more advanced than other thermal comfort models based on the balance of the human body heat, does not need to acquire subjective heat sensation of the human body through questionnaire investigation, provides an effective method for predicting the thermal comfort state of the human body in the thermal environment, and can control and regulate the air conditioner based on the method, so that the refrigerating/heating effect of the air conditioner meets the self requirement of the human body, and meanwhile, the high energy consumption of the operation of the air conditioner is avoided.
Description
Technical Field
The application relates to the field of human engineering, in particular to an air conditioner control method and system based on human thermal comfort prediction.
Background
Currently, the cooling/heating operation mode switching, control adjustment of an air conditioner is a control mode based on the room air temperature and the difference between it and a set target. From the indoor side, the air speed and the air supply temperature are mainly used for adjusting and controlling the room temperature, and meanwhile, the air flow speed of the room is also adjusted to a certain degree. In combination with the variable frequency technology of the compressor and the fan, the thermal comfort of the room is becoming more and more accepted. However, factors affecting the thermal comfort of the human body include air humidity, radiation temperature, human metabolism rate, and clothing in addition to air temperature and wind speed. Therefore, the current control method and control mode of the air conditioner cannot take into consideration the radiation temperature of objects in the room such as the wall surface, the metabolism rate of the human body, and the influence of clothing. The deviation between the set target value and the actual required target value of the room air temperature is easy to be caused, so that the conditions of excessively low room temperature in summer, excessively high wind speed, untimely cold air blowing in winter and the like are easy to occur when the air conditioner is used, human body discomfort is easy to be caused, and even the problems of sub-health, air conditioning diseases and the like are caused. Meanwhile, the phenomenon of excessively high operation energy consumption is caused by unreasonable operation adjustment of the air conditioner. Some enterprises and researchers propose an air-conditioning control method for acquiring physiological parameters representing human body thermal comfort based on skin temperature, heart rate information and the like, but the skin temperature is easily interfered by other factors such as human sweat and the like to cause measurement errors, and the heart rate information is easily influenced by human emotion to not accurately reflect physiological response caused by thermal stimulation. Therefore, in order to make the air conditioner control adjustment more compatible with the needs of the human body, it is also necessary to study a more suitable control method.
Disclosure of Invention
The application aims to solve the defects of the prior art, and provides an air conditioner control method and system based on human body thermal comfort prediction, which can effectively control and regulate an air conditioner according to the thermal comfort prediction state of a human body in a thermal environment.
To achieve the above object, the present application provides the following solutions:
an air conditioner control method based on human body thermal comfort prediction comprises the following steps:
collecting fixed data and current environment data;
obtaining a human thermal comfort prediction result based on the fixed data and the environmental data;
and performing air conditioning adjustment based on the human thermal comfort prediction result.
Preferably, the fixed data includes: human body data and garment data;
the human body data includes: height, weight and metabolic rate of the human body;
the garment data includes: garment thermal resistance and garment moisture resistance.
Preferably, the environmental data includes: air temperature, air humidity, radiation temperature and wind speed.
Preferably, the method for obtaining the human thermal comfort prediction result comprises the following steps:
human body construction based on predicted human body thermal stress model
A balancing model;
bringing the fixed data and the environmental data into the human body
In the balance model, get->
Transferring data;
to bring the metabolic rate of the human body into the human body
Balance model, obtaining maximum human body +.>
Transferring data; />
The said
Transfer data and said maximum human body +.>
And transmitting data for comparison and judgment to obtain the human thermal comfort prediction result.
Preferably, the method for comparing and judging includes:
according to the described
Transmitting data to judge whether the human body is in a thermal neutral state, and if so, taking the thermal neutral state as a thermal comfort prediction result of the human body;
if the human body is judged not to be in, the human body is based on
Balance model acquisition and said maximum human +.>
And comparing the air temperature with the first air temperature, judging that the human body thermal comfort prediction result is in a cold uncomfortable state when the air temperature is smaller than the first air temperature, and judging that the human body thermal comfort prediction result is in a thermal uncomfortable state when the air temperature is larger than or equal to the first air temperature.
Preferably, the method for adjusting the air conditioner comprises the following steps:
when the human body thermal comfort prediction result is the thermal neutral state, the regulating system controls the compressor, the fan and the electronic expansion valve to be unchanged;
when the human thermal comfort prediction result is the cold uncomfortable state, the regulating system judges whether the air conditioner is in a refrigerating mode, if so, a first control instruction is sent to control the compressor and the fan to reduce the refrigerating capacity until the human thermal comfort prediction result is the hot uncomfortable state, and if the regulating system continuously sends the first control instruction to be the cold uncomfortable state after exceeding a preset time, the air conditioner is controlled to be a heating mode, and the compressor and the fan are controlled to improve the heating capacity until the human thermal comfort prediction result is the hot neutral state;
when the human body thermal comfort prediction result is the thermal discomfort state, the regulating system judges whether the air conditioner is in a heating mode, if so, a second control instruction is sent to control the compressor and the fan to reduce heating capacity until the human body thermal comfort prediction result is the thermal discomfort state, and if the regulating system continuously sends the second control instruction to be the thermal discomfort state after exceeding a preset time, the air conditioner is controlled to be in a refrigerating mode, and the compressor and the fan are controlled to improve the refrigerating capacity until the human body thermal comfort prediction result is the thermal discomfort state.
The application also provides an air conditioner control system based on human thermal comfort prediction, comprising: the device comprises a data acquisition module, an operation module and an adjustment module;
the data acquisition module is used for acquiring fixed data and current environment data;
the operation module is used for obtaining a human thermal comfort prediction result based on the fixed data and the environment data;
the adjusting module is used for adjusting the air conditioner based on the human thermal comfort prediction result.
Preferably, the data acquisition module includes: a remote controller and a detection acquisition device;
the remote controller is used for collecting the fixed data;
the detection acquisition device is used for acquiring the environment data.
Compared with the prior art, the beneficial effects of this application are:
the application is based on predictive heat stress model (PHS) and thermodynamics
Theory establishes human body->
The balance equation can simultaneously reflect the energy balance between a person and the environment from two aspects of 'quantity' and 'quality', and has more advancement than other thermal comfort models based on 'quantity' balance of human body heat; the subjective heat sensation of the person is not required to be obtained through questionnaire investigation, and an effective method is provided for predicting the thermal comfort state of the person in a thermal environment; based on the method, the air conditioner can be controlled and regulated, so that the refrigerating/heating effect of the air conditioner meets the requirements of human bodies, and meanwhile, the high energy consumption of the air conditioner in operation is avoided. />
Drawings
For a clearer description of the technical solutions of the present application, the drawings that are required to be used in the embodiments are briefly described below, it being evident that the drawings in the following description are only some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a method according to a first embodiment of the present application;
fig. 2 is a schematic flow chart of a human thermal comfort prediction method according to an embodiment of the present application;
fig. 3 is a schematic flow chart of an air conditioner control method according to the first embodiment of the present application;
fig. 4 is a schematic system structure of a second embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
In order that the above-recited objects, features and advantages of the present application will become more readily apparent, a more particular description of the invention briefly described above will be rendered by reference to specific embodiments that are illustrated in the appended drawings.
Example 1
In a first embodiment, as shown in fig. 1, an air conditioner control method based on human thermal comfort prediction includes the following steps:
s1, collecting fixed data and current environment data. Wherein the fixed data comprises: human body data and garment data; the human body data includes: height, weight and metabolic rate of the human body; the garment data includes: garment thermal resistance and garment moisture resistance. The environmental data includes: air temperature, air humidity, radiation temperature and wind speed.
S2, obtaining a human body thermal comfort prediction result based on the fixed data and the environmental data. Method for obtaining human body thermal comfort prediction resultComprising the following steps: human body construction based on predicted human body thermal stress model
A balancing model; bringing fixed data and environmental data into the human body +.>
In the balance model, get->
Transferring data; bringing the metabolic rate of the human body into the human body>
Balance model to obtain maximum human body
Transferring data; will->
Transfer data and maximum human body->
And transmitting data for comparison and judgment to obtain a human body thermal comfort prediction result.
The comparison judging method comprises the following steps: according to
The data are transmitted to judge that the human body is in a thermal neutral state, and if the human body is in the thermal neutral state, the thermal neutral state is used as a human body thermal comfort prediction result; if the human body is judged not to be in, the human body is based on +.>
Balance model acquisition and maximum human body->
Transmitting a first air temperature corresponding to the data, and comparing the air temperature with the first air temperatureAnd when the air temperature is greater than or equal to the first air temperature, judging that the thermal comfort prediction result of the human body is in a thermal uncomfortable state.
In this embodiment, as shown in fig. 2, the method describes heat generation and heat dissipation of a human body based on a heat balance equation in thermal stress prediction recommended by ISO7933, namely, a human body thermal stress model, and can effectively describe the relationship including metabolic rate and various heat flows in a thermal environment, which is as follows:
M-W＝Cres+Eres+K+C+R+E+S
wherein M is the metabolism rate of the human body, W is the effective mechanical work of the human body, the effective mechanical work is very small under most working conditions, cres and Eres respectively correspond to heat flows of human body respiration convection and evaporation in sequence, K, C, R, E respectively correspond to heat flows transferred between the surface of the human body and the external environment in a heat conduction, convection, radiation and evaporation mode, and S is the heat storage rate of the human body. Wherein, when the body surface of the human body is not contacted with any solid, the influence of the heat conduction parameter of the skin of the human body is not considered in the heat exchange process of the body surface, and the influence of the parameter is not considered in the calculation process of the invention.
Generating human body based on the heat balance equation
Balance model:
E M -E W ＝E Cres +E Eres +E C +E R +E E +E S +E CONS
wherein E is M Corresponding to metabolism of human body
Flow, E W Corresponding to effective mechanical work of human body>
Flow, E Cres 、E Eres Corresponding to the heat flow of human body respiration convection and evaporation respectively>
Flow, E C 、E R 、E E Corresponding to the heat flow of convection, radiation and evaporation of human skin>
Flow, E S Corresponding->
Flow, E CONS Is a human body->
Loss.
In the above model, when a human body
The smaller the loss, the more the body is->
The greater the transmission, wherein the human body->
Delivering heat flow including human respiratory convection and evaporation>
Heat flow corresponding to convection, radiation and evaporation of human body surface>
Human body which can be constructed by the aforementioned work +.>
The balance model is directly calculated; />
Loss = metabolism->
-effective mechanical work->
-in vivo heat accumulation->
-/>
Delivery of
The above parameters are calculated respectively:
wherein the human metabolism rate M comprises the metabolism rate required by human activity and the metabolism rate required by tremor, T a Is the absolute temperature of the ambient air, T cr Absolute temperature corresponding to human core temperature.
E qres ＝E Cres +E Eres ，
Wherein E is qres Generated for breathing
m is dry air quantity in lung, and is related to human metabolism rate and surface area, A D For DuBois surface area, C a Constant pressure specific heat for dry air, W ex For the moisture content of the exhaled gas, C v Specific heat of water vapor at constant pressure, T ex R is the absolute temperature of the exhaled air temperature a For air radiation heat transfer rate, W a Is the air moisture content of the surrounding environment.
Wherein m is k W is the water loss of human body sk For moisture content of skin, C v Constant pressure specific heat, T, of water vapor sk R is the absolute temperature of the skin surface v The radiation heat transfer rate of water vapor, h f Is the latent heat of evaporation of water;
wherein T is sk Affected by different factors, wherein the absolute temperature T of the skin surface sk The corresponding skin surface temperature tsk is found by the following empirical formula,
skin surface temperature tsk1 at garment thermal resistance less than 0.2:
tsk1＝7.2+0.06t a +0.06t r -0.2Pa-0.35Va+0.6Tre
wherein t is a Is the ambient air temperature, t r The radiation temperature is Pa is the partial pressure of water vapor, va is the wind speed, and Tre is the rectal temperature;
skin surface temperature tsk2 for garment thermal resistance greater than 0.6:
tsk2＝12.2+0.02T a +0.04T r +0.2Pa-0.25Va+0.5Tre+0.005M；
skin surface temperature tsk3 in the remaining cases:
tsk3＝tsk1+2.5(tsk2-tsk1)；
wherein f cl For the clothing area coefficient, h c Is the convection heat transfer coefficient, t cl For the surface temperature of the clothing, t a Is the air temperature of the surrounding environment, T cl F is the absolute temperature of the garment surface e The correction coefficient for influencing the surface level for the human body posture, epsilon is the human body surface emissivity, sigma is the Stefan Boltzmann constant, T r Is the ambient average radiation temperature;
clothing area coefficient f cl ，f cl ＝1+0.3I cl ，I cl Is a thermal resistance of the clothing.
Wherein S is cr To store heat for human body core, T cr Is the absolute temperature of human body core, S sk For heat storage of skin, T sk Is the absolute temperature of the skin surface.
S cr ＝M+M shiv -W-q res -SKBFc b (t cr -t sk )
Wherein M is shiv For metabolic rate required for human tremors qres is respiration induced heat flow qres = Cres + Eres, SKBF is blood flow on skin c b Specific heat capacity of blood, t cr Is the core temperature of human body, t sk Is the skin surface temperature.
S sk ＝(K c +SKBFc b )(t cr -t sk )-E-R-C；
Wherein K is c Is a non-mass heat conductor parameter of 5.28Wm -2 K -1 。
By constructing the human body
After the balance model is built, corresponding environment parameters in the model are obtained through the model, wherein the environment parameters comprise: the data of air temperature, air humidity, radiation temperature, wind speed and the like are obtained, the data and the obtained related parameters comprise clothing related parameters and human body related parameters, the human body related parameters comprise data of human body surface area, weight, human body core temperature, human body skin temperature, human body metabolic rate and the like, and the following is noted: the skin temperature, core temperature and perspiration rate of the human body are calculated by inputting the metabolism rate, the thermal resistance and the wet resistance of the clothing and the environmental parameters of the human body through the predicted human body heat stress model of the ISO7933 standard. The data are obtained by direct measurement or preset or by related existing formula model calculation or numerical definition under parameter normalcy, the obtained process is conventional content, and the model is programmed by MATLAB software without repeated descriptionSubstituting the parameters into the model, wherein in the content, different air temperatures, air humidity, radiation temperatures and air speeds are used as variable quantities, the human body related parameters comprise human body metabolic rates and clothing data related contents such as clothing thermal resistances and are used as fixed values, namely, under the condition that the fixed values are unchanged, different environment parameters are adjusted, and the human body related parameters and the clothing data are adjusted to generate a plurality of groups of test data.
In each group, the different parameters can be substituted to obtain the different conditions
By the above-mentioned different metabolic rates of the human body +.>
Substituting into balance model to obtain the corresponding +.>
Flow, will each item->
Flow adding to obtain human body->
Transmission, the person is in charge of>
And transmitting the data for statistical storage. Final human body +.>
Transfer size ranking and +.>
Transmitting data for recording, and counting human body +.>
The environmental parameter corresponding to the transmission data is used as the maximum human body +.>
Data and environmental parameters are transferred. />
In the generation of the maximum human body
After the data is transferred, the fixed data and the environment data in the current environment are obtained, wherein the fixed data comprises the corresponding data of the human body related parameters and the clothing data, and the fixed data and the environment data are substituted into the human body->
The balance model is calculated to generate +.>
Streaming data based on->
Stream data generation->
Transfer data, according to maximum human transfer data and correspondent environmental parameters, current +.>
Judging the transmitted data according to +.>
And transmitting data to judge whether the human body is in a thermal neutral state or not, and then judging the air temperature according to the air temperature data to obtain a human body comfort prediction result. The judging process of whether the heat medium state is in the heat state comprises judging the maximum +.>
Delivery ofData and->
And if the transmitted data are equal, directly taking the thermal neutral state as a human body thermal comfort prediction result, and if the transmitted data are not equal, judging the air temperature in the environmental data. The process of judging the air temperature in the environmental data comprises the following steps: when the air humidity, the radiation temperature, the wind speed and the test environment data in the current environment data are respectively equal, if the air temperature in the current environment data is less than the maximum +.>
And (3) transmitting air temperature data corresponding to the data, and determining the human body thermal comfort prediction result as a cold uncomfortable state, or else, determining the human body thermal comfort prediction result as a thermal uncomfortable state.
S3, air conditioning adjustment is carried out based on the thermal comfort prediction result of the human body. The air conditioner adjusting process comprises the following steps: when the human body thermal comfort prediction result is in a thermal neutral state, the regulating system controls the compressor, the fan and the electronic expansion valve to be unchanged; when the human body thermal comfort prediction result is in a cold uncomfortable state, the regulating system judges whether the air conditioner is in a refrigerating mode, if the air conditioner is in the refrigerating mode, a first control instruction is sent to control the compressor and the fan to reduce the refrigerating capacity until the human body thermal comfort prediction result is in a thermal neutral state, if the regulating system continuously sends the first control instruction to be in the cold uncomfortable state after exceeding a preset time period, the air conditioner is controlled to be in a heating mode, and the compressor and the fan are controlled to improve the heating capacity until the human body thermal comfort prediction result is in the thermal neutral state; when the human body thermal comfort prediction result is in a thermal uncomfortable state, the regulating system judges whether the air conditioner is in a heating mode, if the air conditioner is in the heating mode, a second control instruction is sent to control the compressor and the fan to reduce heating capacity until the human body thermal comfort prediction result is in a thermal uncomfortable state, if the regulating system continuously sends the second control instruction to be in the thermal uncomfortable state after exceeding a preset time period, the air conditioner is controlled to be in a refrigerating mode, and the compressor and the fan are controlled to improve refrigerating capacity until the human body thermal comfort prediction result is in the thermal neutral state.
In this embodiment, as shown in fig. 3, when the predicted result is that the human body is in a thermal neutral state, the adjusting system instructs the compressor, the fan, the four-way reversing valve, the electronic expansion valve, etc. of the air conditioning unit to maintain the existing state; when the predicted result is that the human body is in a cold uncomfortable state, the regulating system detects whether the air conditioner is in a refrigerating operation mode, if the air conditioner is in the refrigerating operation mode, the compressor of the air conditioner unit is instructed to reduce the power frequency or reduce the rotating speed or stop, the indoor fan and the outdoor fan are switched to a low-speed gear or reduce the power frequency or reduce the rotating speed, and the opening of the electronic expansion valve is closed down until the predicted result is changed into a thermal neutral state; when the regulation system continuously sends out a command to maintain the state of cold uncomfortableness for more than 10 minutes and the predicted result is still kept, the regulation system sends out a command to enable the air conditioner to be switched to a heating operation mode or send out an early warning prompt to perform manual intervention regulation, the compressor of the air conditioning unit in the heating mode increases the power frequency or increases the rotating speed or stops, the outdoor fan is switched to a high-speed gear or increases the power frequency or increases the rotating speed, the indoor fan correspondingly adjusts according to the air outlet temperature, and the opening of the electronic expansion valve is opened until the predicted result is in a thermal medium state; when the predicted result is that the human body is in a heat uncomfortable state, the regulating system detects whether the air conditioner is in a heating operation mode, if the air conditioner is in the heating operation mode, the compressor of the air conditioner unit is instructed to reduce the power frequency or reduce the rotating speed or stop, the indoor fan and the outdoor fan are switched to a low-speed gear or reduce the power frequency or reduce the rotating speed, and the opening of the electronic expansion valve is closed down until the predicted result is changed into a heat neutral state; when the regulation system continuously sends out instructions to maintain the state of maintaining the heat uncomfortableness for more than 10 minutes and the predicted result is still kept in the state of heat uncomfortableness, the regulation system sends out instructions to enable the air conditioner to be switched to a refrigeration running mode or send out an early warning prompt to perform manual intervention regulation, the power frequency is increased or the rotation speed is increased or the machine is stopped when the compressor of the air conditioning unit is in the refrigeration mode, the indoor fan and the outdoor fan are switched to a high-speed gear or the power frequency is increased or the rotation speed is increased, and the opening of the electronic expansion valve is increased until the predicted result is in the state of heat medium.
To find the maximum better
Transmitting data and corresponding environmental parameters, after constructing and completing multiple groups of test data, optimizing the test data through a genetic algorithm or other optimizing algorithms, and constructing an objective function in the calculating process, wherein the objective function is +.>
And substituting initial test data into the objective function after the objective function is constructed, evaluating the test data according to an objective function result, reserving a plurality of data which are ranked at the front in the evaluation result, mutating reserved environmental data, and generating new test data without changing human body data and clothing data, wherein the mutating process in the genetic algorithm is set to be randomly crossed and simultaneously carrying out pairwise average taking operation in the father population to generate the next generation population. Stopping until the maximum value is found or the evolution times reach one hundred times, and recording the maximum value of the current result
Delivering data as max->
Data is transferred. And corresponding environmental parameters are recorded.
Example two
In a second embodiment, as shown in fig. 4, an air conditioner control system based on human thermal comfort prediction is characterized by comprising: the device comprises a data acquisition module, an operation module and an adjustment module.
The data acquisition module is used for acquiring fixed data and current environment data; wherein, the data acquisition module includes: a remote controller and a detection acquisition device; the remote controller is used for collecting fixed data; the detection acquisition device is used for acquiring environmental data.
The fixed data includes: human body data and garment data; the human body data includes: height, weight and metabolic rate of the human body; the garment data includes: garment thermal resistance and garment moisture resistance. The environmental data includes: air temperature, air humidity, radiation temperature and wind speed.
The operation module is used for obtaining a human body thermal comfort prediction result based on the fixed data and the environment data; the method for obtaining the human body thermal comfort prediction result comprises the following steps: human body construction based on predicted human body thermal stress model
A balancing model; bringing fixed data and environmental data into the human body +.>
In the balance model, get->
Transferring data; bringing the metabolic rate of the human body into the human body>
Balance model, obtaining maximum human body +.>
Transferring data; will->
Transfer data and maximum human body->
And transmitting data for comparison and judgment to obtain a human body thermal comfort prediction result.
The comparison judging method comprises the following steps: according to
The data are transmitted to judge that the human body is in a thermal neutral state, and if the human body is in the thermal neutral state, the thermal neutral state is used as a human body thermal comfort prediction result; if the human body is judged not to be in, the human body is based on +.>
Balance model acquisition and maximum human body->
And the first air temperature corresponding to the transmission data is compared with the first air temperature, when the air temperature is smaller than the first air temperature, the thermal comfort prediction result of the human body is judged to be in a cold uncomfortable state, and when the air temperature is larger than or equal to the first air temperature, the thermal comfort prediction result of the human body is judged to be in a thermal uncomfortable state.
The adjusting module is used for adjusting the air conditioner based on the human body thermal comfort prediction result. The air conditioner adjusting process comprises the following steps: when the human body thermal comfort prediction result is in a thermal neutral state, the regulating system controls the compressor, the fan and the electronic expansion valve to be unchanged; when the human body thermal comfort prediction result is in a cold uncomfortable state, the regulating system judges whether the air conditioner is in a refrigerating mode, if the air conditioner is in the refrigerating mode, a first control instruction is sent to control the compressor and the fan to reduce the refrigerating capacity until the human body thermal comfort prediction result is in a thermal neutral state, if the regulating system continuously sends the first control instruction to be in the cold uncomfortable state after exceeding a preset time period, the air conditioner is controlled to be in a heating mode, and the compressor and the fan are controlled to improve the heating capacity until the human body thermal comfort prediction result is in the thermal neutral state; when the human body thermal comfort prediction result is in a thermal uncomfortable state, the regulating system judges whether the air conditioner is in a heating mode, if the air conditioner is in the heating mode, a second control instruction is sent to control the compressor and the fan to reduce heating capacity until the human body thermal comfort prediction result is in a thermal uncomfortable state, if the regulating system continuously sends the second control instruction to be in the thermal uncomfortable state after exceeding a preset time period, the air conditioner is controlled to be in a refrigerating mode, and the compressor and the fan are controlled to improve refrigerating capacity until the human body thermal comfort prediction result is in the thermal neutral state.
The foregoing embodiments are merely illustrative of the preferred embodiments of the present application and are not intended to limit the scope of the present application, and various modifications and improvements made by those skilled in the art to the technical solutions of the present application should fall within the protection scope defined by the claims of the present application.
Claims (8)
1. An air conditioner control method based on human body thermal comfort prediction is characterized by comprising the following steps:
collecting fixed data and current environment data;
obtaining a human thermal comfort prediction result based on the fixed data and the environmental data;
and performing air conditioning adjustment based on the human thermal comfort prediction result.
2. The method for controlling an air conditioner based on human thermal comfort prediction according to claim 1, wherein the fixed data comprises: human body data and garment data;
the human body data includes: height, weight and metabolic rate of the human body;
the garment data includes: garment thermal resistance and garment moisture resistance.
3. The air conditioner control method based on human thermal comfort prediction according to claim 1, wherein the environmental data includes: air temperature, air humidity, radiation temperature and wind speed.
4. The air conditioner control method based on human thermal comfort prediction according to claim 3, wherein the method for obtaining the human thermal comfort prediction result comprises the steps of:
human body construction based on predicted human body thermal stress model
A balancing model;
bringing the fixed data and the environmental data into the human body
In the balance model, get->
Transferring data;
to bring the metabolic rate of the human body into the human body
Balance model, obtaining maximum human body +.>
Transferring data;
the said
Transfer data and said maximum human body +.>
And transmitting data for comparison and judgment to obtain the human thermal comfort prediction result.
5. The method for controlling an air conditioner based on human thermal comfort prediction according to claim 4, wherein the method for comparing and judging comprises:
according to the described
Transmitting data to judge whether the human body is in a thermal neutral state, and if so, taking the thermal neutral state as a thermal comfort prediction result of the human body;
if the human body is judged not to be in, the human body is based on
Balance model acquisition and said maximum human +.>
Transmitting a first air temperature corresponding to the data, comparing the air temperature with the first air temperature, and judging that the human body thermal comfort prediction result is in a cold uncomfortable state when the air temperature is smaller than the first air temperatureAnd when the air temperature is greater than or equal to the first air temperature, judging that the human body thermal comfort prediction result is in a thermal uncomfortable state.
6. The method for controlling an air conditioner based on human thermal comfort prediction according to claim 5, wherein the method for adjusting an air conditioner comprises:
when the human body thermal comfort prediction result is the thermal neutral state, the regulating system controls the compressor, the fan and the electronic expansion valve to be unchanged;
when the human thermal comfort prediction result is the cold uncomfortable state, the regulating system judges whether the air conditioner is in a refrigerating mode, if so, a first control instruction is sent to control the compressor and the fan to reduce the refrigerating capacity until the human thermal comfort prediction result is the hot uncomfortable state, and if the regulating system continuously sends the first control instruction to be the cold uncomfortable state after exceeding a preset time, the air conditioner is controlled to be a heating mode, and the compressor and the fan are controlled to improve the heating capacity until the human thermal comfort prediction result is the hot neutral state;
when the human body thermal comfort prediction result is the thermal discomfort state, the regulating system judges whether the air conditioner is in a heating mode, if so, a second control instruction is sent to control the compressor and the fan to reduce heating capacity until the human body thermal comfort prediction result is the thermal discomfort state, and if the regulating system continuously sends the second control instruction to be the thermal discomfort state after exceeding a preset time, the air conditioner is controlled to be in a refrigerating mode, and the compressor and the fan are controlled to improve the refrigerating capacity until the human body thermal comfort prediction result is the thermal discomfort state.
7. An air conditioner control system based on human thermal comfort prediction, comprising: the device comprises a data acquisition module, an operation module and an adjustment module;
the data acquisition module is used for acquiring fixed data and current environment data;
the operation module is used for obtaining a human thermal comfort prediction result based on the fixed data and the environment data;
the adjusting module is used for adjusting the air conditioner based on the human thermal comfort prediction result.
8. The human thermal comfort prediction-based air conditioner control system according to claim 7, wherein the data acquisition module comprises: a remote controller and a detection acquisition device;
the remote controller is used for collecting the fixed data;
the detection acquisition device is used for acquiring the environment data.
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