An air-conditioning control method and system based on human thermal comfort prediction

Abstract

The present application discloses an air conditioner control method and system based on human thermal comfort prediction. The method includes the following steps: collecting fixed data and current environmental data; obtaining a human thermal comfort prediction result based on the fixed data and the environmental data; and performing air conditioner adjustment based on the human thermal comfort prediction result. The present application establishes a human body balance equation based on the predicted heat stress model (PHS) and thermodynamics theory, which can reflect the energy balance between humans and the environment simultaneously from both the "quantity" and "quality" aspects, and is more advanced than other thermal comfort models based on the "quantity" balance of human body heat. It does not require obtaining people's subjective thermal sensations through questionnaires, provides an effective method for predicting the thermal comfort state of the human body in a thermal environment. Based on this method, the air conditioner can be controlled and adjusted to make its cooling / heating effect more in line with the needs of the human body itself, while avoiding high energy consumption during the operation of the air conditioner.

Description

Technical Field

[0001] The present application relates to the field of human ergonomics, and particularly to an air-conditioning control method and system based on prediction of human thermal comfort. Background Art

[0002] Currently, the switching and control adjustment of the cooling / heating operation mode of an air conditioner are based on a control mode of the room air temperature and the difference between it and the set target. From the perspective of the indoor unit, the room temperature is mainly adjusted by adjusting the wind speed and the supply air temperature. At the same time, the air flow speed in the room is also adjusted to a certain extent. Combining the variable frequency technology of the compressor and the fan, the thermal comfort of the room is increasingly recognized by people. However, in addition to the air temperature and wind speed, the factors affecting human thermal comfort also include air humidity, radiant temperature, human metabolic rate, and clothing. Therefore, the current air-conditioning control methods and control modes do not take into account the influence of the radiant temperature of objects in the room such as walls, human metabolic rate, and clothing. This easily causes a deviation between the set target value of the room air temperature and the actual required target value, resulting in situations such as too low room temperature and too high wind speed in summer, and untimely "cold air blowing" in winter when using the air conditioner. This easily leads to human discomfort and even problems such as "sub-health" and "air-conditioning disease". At the same time, due to the unreasonable operation adjustment of the air conditioner, there is also a phenomenon of too high operation energy consumption. Some enterprises and researchers have proposed an air-conditioning control method based on the collection of physiological parameters such as skin temperature and heart rate information that characterize human thermal comfort. However, skin temperature is easily interfered by other factors such as human sweat, resulting in measurement errors, and heart rate information is easily affected by human emotions and thus cannot correctly reflect the physiological response caused by thermal stimulation. Therefore, in order to make the air-conditioning control adjustment more in line with human needs, more suitable control methods need to be studied. Summary of the Invention

[0003] The present application aims to solve the deficiencies of the prior art and proposes an air-conditioning control method and system based on prediction of human thermal comfort, which can effectively control and adjust the air conditioner according to the predicted state of human thermal comfort in the thermal environment.

[0004] To achieve the above object, the present application provides the following solutions:

[0005] An air-conditioning control method based on prediction of human thermal comfort, comprising the following steps:

[0006] Collect fixed data and current environmental data;

[0007] Obtain a predicted result of human thermal comfort based on the fixed data and the environmental data;

[0008] Adjust the air conditioner based on the predicted result of human thermal comfort.

[0009] Preferably, the fixed data includes: human body data and clothing data;

[0010] The human body data includes: height, weight, and human metabolic rate;

[0011] The clothing data includes: clothing thermal resistance and clothing moisture resistance.

[0012] Preferably, the environmental data includes: air temperature, air humidity, radiant temperature, and wind speed.

[0013] Preferably, the method for obtaining the human thermal comfort prediction result includes:

[0014] Constructing a human body balance model based on the predicted human thermal stress model;

[0015] Substituting the fixed data and the environmental data into the human body balance model to obtain transfer data;

[0016] Substituting the human metabolic rate into the human body balance model to obtain the maximum human body transfer data;

[0017] Substituting the transfer data and the maximum human body transfer data for comparison and judgment to obtain the human thermal comfort prediction result.

[0018] Preferably, the method for comparison and judgment includes:

[0019] Judging whether the human body is in a thermoneutral state according to the transfer data. If it is judged to be in the thermoneutral state, then take the thermoneutral state as the human thermal comfort prediction result;

[0020] If it is judged not to be in the thermoneutral state, then obtain the first air temperature corresponding to the maximum human body balance model based on the human body transfer data, and compare the air temperature with the first air temperature. When the air temperature is less than the first air temperature, it is judged that the human thermal comfort prediction result is a cold discomfort state. When the air temperature is greater than or equal to the first air temperature, it is judged that the human thermal comfort prediction result is a hot discomfort state.

[0021] Preferably, the method for air-conditioning regulation includes:

[0022] When the human thermal comfort prediction result is the thermoneutral state, the regulation system controls the compressor, the blower, and the electronic expansion valve to remain unchanged;

[0023] When the predicted result of human thermal comfort is the cold discomfort state, the adjustment system determines whether the air conditioner is in the cooling mode. If it is in the cooling mode, a first control instruction is issued to control the compressor and the blower to reduce the cooling capacity until the predicted result of human thermal comfort is the thermal neutral state. If the adjustment system continuously issues the first control instruction for more than a preset duration and it is still in the cold discomfort state, the air conditioner is controlled to be in the heating mode, and the compressor and the blower are controlled to increase the heating capacity until the predicted result of human thermal comfort is the thermal neutral state;

[0024] When the predicted result of human thermal comfort is the hot discomfort state, the adjustment system determines whether the air conditioner is in the heating mode. If it is in the heating mode, a second control instruction is issued to control the compressor and the blower to reduce the heating capacity until the predicted result of human thermal comfort is the thermal neutral state. If the adjustment system continuously issues the second control instruction for more than a preset duration and it is still in the hot discomfort state, the air conditioner is controlled to be in the cooling mode, and the compressor and the blower are controlled to increase the cooling capacity until the predicted result of human thermal comfort is the thermal neutral state.

[0025] The present application also provides an air conditioner control system based on the prediction of human thermal comfort, including: a data acquisition module, an operation module, and an adjustment module;

[0026] The data acquisition module is used to acquire fixed data and current environmental data;

[0027] The operation module is used to obtain the predicted result of human thermal comfort based on the fixed data and the environmental data;

[0028] The adjustment module is used to adjust the air conditioner based on the predicted result of human thermal comfort.

[0029] Preferably, the data acquisition module includes: a remote controller and a detection and acquisition device;

[0030] The remote controller is used to acquire the fixed data;

[0031] The detection and acquisition device is used to acquire the environmental data.

[0032] Compared with the prior art, the beneficial effects of the present application are:

[0033] This application is based on the Predicted Heat Stress (PHS) model and thermodynamics theory to establish the human body The balance equation can reflect the energy balance between humans and the environment simultaneously from both the "quantity" and "quality" aspects, and is more advanced than other thermal comfort models based on the "quantity" balance of human body heat. It does not require obtaining people's subjective thermal sensations through questionnaires, providing an effective method for predicting the thermal comfort state of the human body in a thermal environment. Based on this method, the air conditioner can be controlled and adjusted to make its cooling / heating effect more in line with the needs of the human body itself, while avoiding high energy consumption during air conditioner operation. Description of the Drawings

[0034] To more clearly illustrate the technical solutions of the present application, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0035] Figure 1 It is a schematic flowchart of the method in Embodiment 1 of the present application;

[0036] Figure 2 It is a schematic flowchart of the human thermal comfort prediction method in Embodiment 1 of the present application;

[0037] Figure 3 It is a schematic flowchart of the air conditioner control method in Embodiment 1 of the present application;

[0038] Figure 4 It is a schematic structural diagram of the system in Embodiment 2 of the present application. Detailed Embodiments

[0039] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0040] To make the above objects, features, and advantages of the present application more obvious and understandable, the present application will be further described in detail below in conjunction with the drawings and specific embodiments.

[0041] Embodiment 1

[0042] In the first embodiment, as Figure 1 shown, an air conditioner control method based on human thermal comfort prediction includes the following steps:

[0043] S1. Collect fixed data and current environmental data. Among them, the fixed data includes: human body data and clothing data; the human body data includes: height, weight, and human metabolic rate; the clothing data includes: clothing thermal resistance and clothing moisture resistance. The environmental data includes: air temperature, air humidity, radiant temperature, and wind speed.

[0044] S2. Obtain the human thermal comfort prediction result based on the fixed data and environmental data. The method for obtaining the human thermal comfort prediction result includes: constructing a human balance model based on the predicted human thermal stress model; substituting the fixed data and environmental data into the human balance model to obtain transfer data; substituting the human metabolic rate into the human balance model to obtain the maximum human transfer data; comparing and judging the transfer data and the maximum human transfer data to obtain the human thermal comfort prediction result.

[0045] Among them, the method of comparison and judgment includes: judging whether the human body is in a thermoneutral state according to the transfer data. If it is judged to be in the thermoneutral state, then take the thermoneutral state as the human thermal comfort prediction result; if it is judged not to be in the thermoneutral state, then obtain the first air temperature corresponding to the maximum human balance model based on the human transfer data, and compare the air temperature with the first air temperature. When the air temperature is less than the first air temperature, judge that the human thermal comfort prediction result is a cold discomfort state; when the air temperature is greater than or equal to the first air temperature, judge that the human thermal comfort prediction result is a hot discomfort state.

[0046] In this embodiment, as Figure 2 shown, this method is based on the heat balance equation in the thermal stress prediction recommended by ISO7933, that is, the human thermal stress model, which describes the heat production and heat dissipation of the human body, can effectively describe the relationship between the metabolic rate and various heat fluxes in a thermal environment, and is:

[0047] M - W = Cres + Eres + K + C + R + E + S

[0048] Among them, M is the human metabolic rate, W is the effective mechanical work of the human body. In most working conditions, the effective mechanical work is very small. Cres and Eres respectively correspond to the convective and evaporative heat fluxes of human respiration in sequence. K, C, R, and E respectively correspond to the heat fluxes transferred between the human body surface and the external environment in the forms of conduction, convection, radiation, and evaporation in sequence. S is the human heat storage rate. Among them, when the human body surface is not in contact with any solid, the influence of the human skin thermal conductivity parameter is not considered in the heat transfer process on the body surface. In the calculation process of the present invention, the influence of this parameter is not considered.

[0049] Based on the above heat balance equation, a human body equilibrium model is generated:

[0050] E M -E W = E Cres + E Eres + E C + E R + E E + E S + E CONS

[0051] where, E M is the flow corresponding to human metabolism, E is the flow corresponding to the effective mechanical work of the human body, E W is the flow corresponding to the flow corresponding to the effective mechanical work of the human body, E Cres , E Eres respectively correspond to the flows corresponding to the convective heat flow and evaporative heat flow of human respiration in sequence, E is the flow corresponding to the C , E R , E E respectively correspond to the flows corresponding to the convective heat flow, radiative heat flow, and evaporative heat flow of the human skin in sequence, E is the flow corresponding to the heat storage of the human body, E S is the flow corresponding to the heat storage of the human body, E CONS is the loss of the human body.

[0052] In the above model, when the loss of the human body is smaller, the transfer of the human body is larger, where the transfer of the human body includes the transfer corresponding to the convective heat flow and evaporative heat flow of human respiration, the transfer corresponding to the convective heat flow, radiative heat flow, and evaporative heat flow of the human body surface, which can be directly calculated from the equilibrium model of the human body constructed by the foregoing work; Loss = Metabolism - Effective mechanical work - Heat storage in the body - Transfer

[0053] Calculations are performed separately for the above parameters:

[0054]

[0055] where, the human metabolic rate M includes the metabolic rate required for human activities and the metabolic rate required for shivering, T a is the absolute temperature of the surrounding ambient air, T cris the absolute temperature corresponding to the core body temperature.

[0056] E qres = E Cres + E Eres ,

[0057] where E qres is generated by breathing

[0058]

[0059] m is the mass of dry air in the lungs, related to the body metabolic rate and surface area, A D is the DuBois surface area, C a is the specific heat at constant pressure of dry air, W ex is the moisture content of the exhaled gas, C v is the specific heat at constant pressure of water vapor, T ex is the absolute temperature of the exhaled air temperature, R a is the air radiation heat transfer rate, W a is the moisture content of the air in the surrounding environment.

[0060]

[0061] where m k is the body water loss, W sk is the moisture content of the skin, C v specific heat at constant pressure of water vapor, T sk is the absolute skin surface temperature, R v water vapor radiation heat transfer rate, h f is the latent heat of vaporization of water;

[0062] where T sk is affected by different factors, where the absolute skin surface temperature T sk corresponding to the skin surface Celsius temperature tsk is obtained by the following empirical formula,

[0063] skin surface temperature tsk1 when the clothing thermal resistance is less than 0.2:

[0064] tsk1 = 7.2 + 0.06t a + 0.06t r - 0.2Pa - 0.35Va + 0.6Tre

[0065] where t a is the ambient air temperature, t r is the radiation temperature, Pa is the water vapor partial pressure, Va is the wind speed, Tre is the rectal temperature;

[0066] skin surface temperature tsk2 when the clothing thermal resistance is greater than 0.6:

[0067] tsk2 = 12.2 + 0.02T a + 0.04T r + 0.2Pa - 0.25Va + 0.5Tre + 0.005M;

[0068] The skin surface temperature tsk3 in other cases:

[0069] tsk3 = tsk1 + 2.5(tsk2 - tsk1);

[0070]

[0071] where f cl is the clothing area factor, h c is the convective heat transfer coefficient, t cl is the clothing surface temperature, t a is the air temperature of the surrounding environment, T cl is the absolute temperature of the clothing surface, f e is the correction factor for the surface level affected by the human body posture, ε is the human body surface emissivity, σ is the Stefan - Boltzmann constant, T r is the average radiant temperature of the environment;

[0072] The clothing area factor f cl , f cl = 1 + 0.3I cl , I cl is the clothing thermal resistance.

[0073]

[0074] where S cr is the human core heat storage, T cr is the absolute temperature of the human core, S sk is the skin heat storage, T sk is the absolute temperature of the skin surface.

[0075] S cr = M + M shiv - W - q res - SKBFc b (t cr - t sk )

[0076] where M shiv is the metabolic rate required for human shivering, qres is the heat flow caused by breathing qres = Cres + Eres, SKBF is the blood flow on the skin, c b is the specific heat capacity of blood, t cr is the human core temperature, t sk is the skin surface temperature.

[0077] S sk = (K c + SKBFc b )(t cr - t sk ) - E - R - C;

[0078] Wherein, K c is the parameter of the massless heat conductor, which is 5.28 Wm -2 K -1 .

[0079] By constructing the above human body equilibrium model, after the construction is completed, the corresponding environmental parameters in the model are obtained through the above model. The environmental parameters include: data such as air temperature, air humidity, radiant temperature, and wind speed. The above data and the obtained relevant parameters include clothing-related parameters and human body-related parameters. The human body-related parameters include data such as human body surface area, body weight, human core temperature, human skin temperature, and human metabolic rate. Note: The skin temperature, core temperature, and sweating rate of the human body are calculated by inputting the human body metabolism rate, clothing thermal resistance and moisture resistance, environmental parameters, etc. into the predicted human body heat stress model of the ISO7933 standard. The above data is obtained through direct measurement, presetting, or calculation through relevant existing formula models or numerical definitions under normal parameters. The obtaining process is routine content and will not be elaborated here. The above model is programmed by MATLAB software, and the above parameters are substituted into the above model. In the above content, different air temperatures, air humidities, radiant temperatures, and wind speeds are used as variables, and the human body-related parameters including the human metabolism rate and clothing data-related content, such as clothing thermal resistance, are used as fixed values. That is, under the condition that the above fixed values remain unchanged, different environmental parameters are adjusted, and the human body-related parameters and clothing data are adjusted to generate multiple groups of test data.

[0080] In each group, by substituting different parameters, the values generated under different conditions can be obtained By the above different human metabolism rates generated Substituting into the equilibrium model, the flows corresponding to human respiration and the heat flow on the surface and the outside can be obtained flows. Adding up each flow gives the human body transfer. The human body transfer data is statistically stored. By sorting the above multiple groups of statistically obtained data according to the final human body transfer magnitude, and recording the human body transfer data of the maximum value in the sorting result, and statistically calculating the environmental parameters corresponding to the human body transfer data as the maximum human body transfer data and environmental parameters.

[0081] After generating the maximum human body After transmitting the data, by obtaining the fixed data and environmental data in the current environment, the fixed data includes the corresponding data of human body related parameters and clothing data, and substituting the fixed data and environmental data into the human body equilibrium model for calculation to generate flow data, based on the flow data to generate transmission data, and judging the current transmission data according to the maximum human body using the transmission data and the corresponding environmental parameters. During the judgment process, first according to the transmission data to judge whether it is in the thermoneutral state, and then judge according to the air temperature data of the air temperature to obtain the human comfort prediction result. The process of judging whether it is in the thermoneutral state includes judging the maximum transmission data and whether the transmission data is equal. If they are equal, directly take the thermoneutral state as the human thermal comfort prediction result. If they are not equal, judge the air temperature in the environmental data. The process of judging the air temperature in the environmental data includes: when the air humidity, radiant temperature, and wind speed in the current environmental data are respectively equal to the test environmental data, if the air temperature in the current environmental data is less than the maximum the air temperature data corresponding to the transmission data, then set the human thermal comfort prediction result as the cold discomfort state, otherwise set the human thermal comfort prediction result as the hot discomfort state.

[0082] S3. Perform air conditioning adjustment based on the human thermal comfort prediction result. The process of air conditioning adjustment includes: when the human thermal comfort prediction result is the thermoneutral state, the adjustment system controls the compressor, fan, and electronic expansion valve to remain unchanged; when the human thermal comfort prediction result is the cold discomfort state, the adjustment system judges whether the air conditioner is in the cooling mode. If it is in the cooling mode, issue the first control instruction to control the compressor and fan to reduce the cooling capacity until the human thermal comfort prediction result is the thermoneutral state. If the adjustment system continuously issues the first control instruction for more than the preset duration and is still in the cold discomfort state, then control the air conditioner to the heating mode and control the compressor and fan to increase the heating capacity until the human thermal comfort prediction result is the thermoneutral state; when the human thermal comfort prediction result is the hot discomfort state, the adjustment system judges whether the air conditioner is in the heating mode. If it is in the heating mode, issue the second control instruction to control the compressor and fan to reduce the heating capacity until the human thermal comfort prediction result is the thermoneutral state. If the adjustment system continuously issues the second control instruction for more than the preset duration and is still in the hot discomfort state, then control the air conditioner to the cooling mode and control the compressor and fan to increase the cooling capacity until the human thermal comfort prediction result is the thermoneutral state.

[0083] In this embodiment, such asFigure 3 As shown, when the prediction result is that the human body is in a thermoneutral state, the regulation system commands the compressor, fan, four-way reversing valve, electronic expansion valve, etc. of the air conditioner unit to maintain the existing state; when the prediction result is that the human body is in a cold discomfort state, the regulation system detects whether the air conditioner is in the cooling operation mode. If it is in the cooling operation mode, it commands the compressor of the air conditioner unit to reduce the power frequency or reduce the rotational speed or stop, and both the indoor and outdoor fans are switched to the low-speed gear or the power frequency is reduced or the rotational speed is reduced, and the opening of the electronic expansion valve is closed until the prediction result becomes the thermoneutral state; when the regulation system continuously issues commands to maintain for more than 10 minutes and the prediction result is still the cold discomfort state, the regulation system issues a command to switch the air conditioner to the heating operation mode or issues a warning prompt for manual intervention adjustment. In the heating mode, the compressor of the air conditioner unit increases the power frequency or increases the rotational speed or stops, the outdoor fan is switched to the high-speed gear or the power frequency is increased or the rotational speed is increased, the indoor fan is adjusted accordingly according to the outlet air temperature, and the opening of the electronic expansion valve is opened until the prediction result is the thermoneutral state; when the prediction result is that the human body is in a hot discomfort state, the regulation system detects whether the air conditioner is in the heating operation mode. If it is in the heating operation mode, it commands the compressor of the air conditioner unit to reduce the power frequency or reduce the rotational speed or stop, and both the indoor and outdoor fans are switched to the low-speed gear or the power frequency is reduced or the rotational speed is reduced, and the opening of the electronic expansion valve is closed until the prediction result becomes the thermoneutral state; when the regulation system continuously issues commands to maintain for more than 10 minutes and the prediction result is still the hot discomfort state, the regulation system issues a command to switch the air conditioner to the cooling operation mode or issues a warning prompt for manual intervention adjustment. In the cooling mode, the compressor of the air conditioner unit increases the power frequency or increases the rotational speed or stops, the indoor and outdoor fans are switched to the high-speed gear or the power frequency is increased or the rotational speed is increased, and the opening of the electronic expansion valve is opened until the prediction result is the thermoneutral state.

[0084] For better searching for the maximum After transmitting the data and the corresponding environmental parameters and constructing multiple groups of test data, the test data is optimized by a genetic algorithm or other optimization algorithms. During the calculation process, an objective function is constructed. The objective function takes the minimum loss as the goal. After the objective function is constructed, the initial test data is substituted into the objective function, and the test data is evaluated according to the result of the objective function. The several data with the top rankings in the evaluation results are retained, and the retained environmental data is mutated. The human body data and clothing data remain unchanged to generate new test data. For the mutation process in the genetic algorithm, it is set to perform random crossover and simultaneously randomly take the average of two in the parental population to generate the next generation population. Stop until the maximum value is found or the number of evolution times reaches one hundred times, and record the transmitted data as the maximum Transfer data and record the corresponding environmental parameters.

[0085] Embodiment 2

[0086] In Embodiment 2, as Figure 4 shown, an air-conditioning control system based on human thermal comfort prediction, characterized in that it includes: a data acquisition module, an operation module, and an adjustment module.

[0087] The data acquisition module is used to collect fixed data and current environmental data; among them, the data acquisition module includes: a remote control and a detection and acquisition device; the remote control is used to collect fixed data; the detection and acquisition device is used to collect environmental data.

[0088] The fixed data includes: human body data and clothing data; the human body data includes: height, weight, and human metabolic rate; the clothing data includes: clothing thermal resistance and clothing moisture resistance. The environmental data includes: air temperature, air humidity, radiant temperature, and wind speed.

[0089] The operation module is used to obtain the human thermal comfort prediction result based on the fixed data and the environmental data; the method for obtaining the human thermal comfort prediction result includes: constructing a human balance model based on the predicted human thermal stress model; substituting the fixed data and the environmental data into the human balance model to obtain transfer data; substituting the human metabolic rate into the human balance model to obtain the maximum human transfer data; substituting transfer data and the maximum human transfer data for comparison and judgment to obtain the human thermal comfort prediction result.

[0090] Among them, the method for comparison and judgment includes: judging whether the human body is in a thermoneutral state according to transfer data. If it is judged to be in a thermoneutral state, the thermoneutral state is used as the human thermal comfort prediction result; if it is judged not to be in a thermoneutral state, then based on the human balance model, obtain the first air temperature corresponding to the maximum human transfer data, and compare the air temperature with the first air temperature. When the air temperature is less than the first air temperature, it is judged that the human thermal comfort prediction result is a cold discomfort state. When the air temperature is greater than or equal to the first air temperature, it is judged that the human thermal comfort prediction result is a hot discomfort state.

[0091] The adjustment module is used to perform air conditioner adjustment based on the prediction result of human thermal comfort. The process of air conditioner adjustment includes: when the prediction result of human thermal comfort is in the thermoneutral state, the adjustment system controls the compressor, the fan, and the electronic expansion valve to remain unchanged; when the prediction result of human thermal comfort is in the cold discomfort state, the adjustment system determines whether the air conditioner is in the cooling mode. If it is in the cooling mode, a first control instruction is issued to control the compressor and the fan to reduce the cooling capacity until the prediction result of human thermal comfort is in the thermoneutral state. If the adjustment system continuously issues the first control instruction for more than the preset duration and the cold discomfort state still exists, the air conditioner is controlled to be in the heating mode, and the compressor and the fan are controlled to increase the heating capacity until the prediction result of human thermal comfort is in the thermoneutral state; when the prediction result of human thermal comfort is in the hot discomfort state, the adjustment system determines whether the air conditioner is in the heating mode. If it is in the heating mode, a second control instruction is issued to control the compressor and the fan to reduce the heating capacity until the prediction result of human thermal comfort is in the thermoneutral state. If the adjustment system continuously issues the second control instruction for more than the preset duration and the hot discomfort state still exists, the air conditioner is controlled to be in the cooling mode, and the compressor and the fan are controlled to increase the cooling capacity until the prediction result of human thermal comfort is in the thermoneutral state.

[0092] The embodiments described above are only descriptions of the preferred embodiments of the present application, and do not limit the scope of the present application. Without departing from the design spirit of the present application, various deformations and improvements made by those of ordinary skill in the art to the technical solutions of the present application shall fall within the protection scope determined by the claims of the present application.

Claims

1. An air conditioner control method based on human thermal comfort prediction, characterized in that, It includes the following steps: Collect fixed data and current environmental data; Obtain the human thermal comfort prediction result based on the fixed data and the environmental data; Conduct air-conditioning adjustment based on the human thermal comfort prediction result; The fixed data includes: human body data and clothing data; The human body data includes: height, weight, and human metabolic rate; The clothing data includes: clothing thermal resistance and clothing moisture resistance; The environmental data includes: air temperature, air humidity, radiant temperature, and wind speed; The method for obtaining the human thermal comfort prediction result includes: Construct a human body equilibrium model based on a predicted human heat stress model; Bring the fixed data and the environmental data into the human body In the balance model, obtain Transfer data; Bring the human metabolic rate into the human body balance model to obtain the maximum human body Transfer data; Compare the said data transmission and the said maximum human data transmission to make a comparative judgment and obtain the predicted result of human thermal comfort.

2. The air conditioner control method based on human thermal comfort prediction according to claim 1, wherein The method for comparison and judgment includes: According to the above-mentioned judge whether the human body is in a thermoneutral state based on the transmitted data. If it is judged that the human body is in the thermoneutral state, then use the thermoneutral state as the prediction result of the human body's thermal comfort; If it is determined that it is not in such a state, then based on the human body equilibrium model, obtain a first air temperature corresponding to the transmitted data of the maximum human body and compare the air temperature with the first air temperature. When the air temperature is lower than the first air temperature, it is determined that the predicted result of human thermal comfort is a cold discomfort state. When the air temperature is greater than or equal to the first air temperature, it is determined that the predicted result of human thermal comfort is a hot discomfort state.

3. The air conditioner control method based on human thermal comfort prediction according to claim 2, wherein, The method for air-conditioning adjustment includes: When the human thermal comfort prediction result is the thermoneutral state, the adjustment system controls the compressor, fan, and electronic expansion valve to remain unchanged; When the human thermal comfort prediction result is the cold discomfort state, the adjustment system determines whether the air conditioner is in the cooling mode. If it is in the cooling mode, it issues a first control instruction to control the compressor and the fan to reduce the cooling capacity until the human thermal comfort prediction result is the thermoneutral state. If the adjustment system continuously issues the first control instruction for more than the preset duration and it is still in the cold discomfort state, it controls the air conditioner to the heating mode and controls the compressor and the fan to increase the heating capacity until the human thermal comfort prediction result is the thermoneutral state; When the human thermal comfort prediction result is the hot discomfort state, the adjustment system determines whether the air conditioner is in the heating mode. If it is in the heating mode, it issues a second control instruction to control the compressor and the fan to reduce the heating capacity until the human thermal comfort prediction result is the thermoneutral state. If the adjustment system continuously issues the second control instruction for more than the preset duration and it is still in the hot discomfort state, it controls the air conditioner to the cooling mode and controls the compressor and the fan to increase the cooling capacity until the human thermal comfort prediction result is the thermoneutral state.

4. An air conditioner control system based on human thermal comfort prediction, characterized in that, It includes: A data collection module, an operation module, and an adjustment module; The data collection module is used to collect fixed data and current environmental data; The operation module is used to obtain the human thermal comfort prediction result based on the fixed data and the environmental data; The adjustment module is used to conduct air-conditioning adjustment based on the human thermal comfort prediction result; The fixed data includes: human body data and clothing data; The human body data includes: height, weight, and human metabolic rate; The clothing data includes: clothing thermal resistance and clothing moisture resistance; The environmental data includes: air temperature, air humidity, radiant temperature, and wind speed; The method for obtaining the human thermal comfort prediction result includes: Construct a human body equilibrium model based on a predicted human body heat stress model; Bring the fixed data and the environmental data into the human body In the balance model, obtain Transmitted data; Bring the human metabolic rate into the human body equilibrium model to obtain the maximum human body Transfer data; Compare the data transmission and the maximum human body data transmission to make a comparative judgment and obtain the predicted result of human thermal comfort.

5. The air-conditioning control system based on human thermal comfort prediction according to claim 4, characterized in that, The data collection module includes: a remote controller and a detection and collection device; The remote controller is used to collect the fixed data; The detection and collection device is used to collect the environmental data.

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