Dynamic adjustment method for thermal comfort neutral value of air-conditioned room

Abstract

The invention discloses a dynamic adjustment method for a thermal comfort neutral value of an air-conditioned room, relates to the technical field of intelligent control, and solves the problem that other factors influencing the thermal comfort neutral value of the air-conditioned room are not considered in the prior art, so that the temperature of an air conditioner is adjusted through a thermal comfort neutral value method. The user experience feeling is poor; and the efficiency of the adjusting method is low. A comfortable temperature value of an air-conditioned room is calculated according to environment data, and a thermal comfort neutral value of the air-conditioned room is calculated accordingly; generating an air conditioner aging coefficient according to the air conditioner data, and then calculating and adjusting a thermal comfort neutral value with an air-conditioned room thermal comfort neutral value; the adjustment thermal comfort neutral value is assigned to the air conditioning equipment for adjustment, the external environment temperature, the number of persons existing in the room, the age influence and the activity duration are considered, so that the thermal comfort neutral value of the air-conditioned room is more accurate, and meanwhile air conditioner performance reduction caused by air conditioner aging is considered; and therefore, the heat comfort neutral value of the air-conditioned room is updated, and the user comfort is improved.

Description

Technical Field

[0001] This application belongs to the technical field of intelligent control, and specifically relates to a method for dynamically adjusting the thermal comfort neutral value in an air-conditioned room. Background Art

[0002] The thermal comfort model, also known as the PMV index, is an experimental regression formula for the relationship between human thermal sensation and human thermal load obtained by Fanger in Denmark by collecting a large amount of thermal sensation data of subjects in artificial climate rooms with stable indoor parameters during thermal comfort experiments. With the continuous development of heating, ventilation, and air conditioning (HVAC) technology, more and more equipment manufacturers, system operators, and research institutions in the HVAC industry incorporate the principle of the thermal comfort model into the system operation strategy, and adjust the relevant parameters of the system operation through the PMV index to achieve the purpose of comfortable cooling and heating.

[0003] The existing technology only uses the thermal comfort model in the system operation strategy, lacking consideration of other factors affecting the thermal comfort neutral value in the air-conditioned room, resulting in poor user experience and low efficiency of the adjustment method when adjusting the air-conditioning temperature through the thermal comfort neutral value; therefore, the method for dynamically adjusting the thermal comfort neutral value in the air-conditioned room still needs further improvement. Summary of the Invention

[0004] This application aims to solve at least one of the technical problems existing in the prior art; for this purpose, this application proposes a method for dynamically adjusting the thermal comfort neutral value in an air-conditioned room, which is used to solve the technical problems that the existing technology lacks consideration of other factors affecting the thermal comfort neutral value in the air-conditioned room, resulting in poor user experience and low efficiency of the adjustment method when adjusting the air-conditioning temperature through the thermal comfort neutral value.

[0005] To achieve the above object, the first aspect of this application provides a method for dynamically adjusting the thermal comfort neutral value in an air-conditioned room, including:

[0006] S0: Obtain environmental data, personnel data, and air-conditioning data;

[0007] S1: Calculate the comfortable temperature value of the air-conditioned room according to the environmental data; calculate the thermal comfort neutral value of the air-conditioned room according to the comfortable temperature value of the air-conditioned room and the personnel data;

[0008] S2: Generate an air-conditioning aging coefficient according to the air-conditioning data; generate an alarm signal according to the air-conditioning aging coefficient; calculate and adjust the thermal comfort neutral value according to the air-conditioning aging coefficient and the thermal comfort neutral value of the air-conditioned room;

[0009] S3: Assign the adjusted thermal comfort neutral value to the air-conditioning equipment for adjustment;

[0010] S4: Make a prompt according to the alarm signal and contact the management personnel.

[0011] Through the above steps, this application calculates the thermal comfort neutral value in the air-conditioned room through multi-source data, improving the accuracy of the thermal comfort neutral value in the air-conditioned room, and taking into account the aging factor, thus enhancing the user experience and the efficiency of the temperature regulation method.

[0012] Further, calculating the comfortable temperature value of the air-conditioned room according to the environmental data includes:

[0013] Obtain several outdoor temperatures Twi and the comfortable temperature range of the air-conditioned room in the environmental data;

[0014] Calculate the average value of several outdoor temperatures Twi to obtain the outdoor temperature Tw;

[0015] Calculate the comfortable temperature value KFSW of the air-conditioned room through a formula;

[0016] Among them, KFSWxx represents the lower limit value in the comfortable temperature range of the air-conditioned room, KFSWsx represents the upper limit value in the comfortable temperature range of the air-conditioned room; Tw-sx represents the upper limit value of the outdoor temperature, Tw-xx represents the lower limit value of the outdoor temperature; KFSW = f(Tw) represents the functional relationship between the comfortable temperature value of the air-conditioned room and the outdoor temperature, that is, for any outdoor temperature between the upper limit value and the lower limit value of the outdoor temperature, there is a corresponding comfortable temperature value of the air-conditioned room.

[0017] Further, calculating the thermal comfort neutral value of the air-conditioned room according to the comfortable temperature value of the air-conditioned room and the personnel data includes:

[0018] Obtain the comfortable temperature value KFSW of the air-conditioned room, personnel data, and environmental data;

[0019] Calculate the thermal comfort neutral values of several personnel according to the comfortable temperature value KFSW of the air-conditioned room, personnel data, and environmental data;

[0020] Calculate the thermal comfort neutral value of the air-conditioned room according to the thermal comfort neutral values of several personnel.

[0021] Further, calculating the thermal comfort neutral values of several personnel according to the comfortable temperature value KFSW of the air-conditioned room, personnel data, and environmental data includes:

[0022] Obtain the environmental temperature, relative air humidity, comfortable temperature value of the air-conditioned room, wind speed, human metabolic rate, and clothing thermal resistance corresponding to several personnel IDs, and integrate them into personnel comprehensive data;

[0023] Input the personnel comprehensive data into the thermal comfort neutral value prediction model to obtain the thermal comfort neutral values corresponding to several personnel IDs; the thermal comfort neutral value prediction model is constructed through an artificial intelligence model.

[0024] Further, the predicted model of the thermal comfort neutral value is constructed by an artificial intelligence model, including:

[0025] Obtain a number of historical ambient temperatures, relative air humidities, comfortable temperatures in air-conditioned rooms, wind speeds, human metabolic rates, and clothing thermal resistances, and their corresponding thermal comfort neutral values, and integrate the number of historical ambient temperatures, relative air humidities, comfortable temperatures in air-conditioned rooms, wind speeds, human metabolic rates, and clothing thermal resistances into a number of historical comprehensive data of personnel;

[0026] Divide the number of historical comprehensive data of personnel and the thermal comfort neutral value into training data, verification data, and test data; perform data preprocessing on the training data, verification data, and test data to obtain a training set, a verification set, and a test set;

[0027] Select an artificial intelligence model as the basic model;

[0028] Train the basic model through the training set, and adjust the learning rate and hyperparameters on the verification set to obtain a pre-trained model;

[0029] Verify the pre-trained model on the test set, and finally obtain a predicted model of the thermal comfort neutral value with the input of the comprehensive data of personnel and the output of the thermal comfort neutral value.

[0030] Further, calculating the thermal comfort neutral value of the air-conditioned room according to the thermal comfort neutral values of several personnel includes:

[0031] Obtain the thermal comfort neutral value RSZj corresponding to a number of personnel IDs;

[0032] Through the formula KFRSZ = ∑ j α j ×RSZ j Calculate the thermal comfort neutral value KFRSZ of the air-conditioned room; where αj is the weight coefficient, αj ∈ (0, 1); the weight coefficient is calculated according to the personnel data.

[0033] This application obtains the thermal comfort neutral value of the air-conditioned room through the above steps. After calculating the thermal comfort neutral value of each person, the thermal comfort neutral value of the air-conditioned room is obtained, and different weights are assigned to different personnel for calculation, which improves the accuracy of the thermal comfort neutral value of the air-conditioned room and the efficiency of the adjustment method.

[0034] Further, calculating the weight coefficient according to the personnel data includes:

[0035] Obtain the influence level of personnel age and the activity duration in the personnel data;

[0036] Calculate the body influence coefficient SYXj corresponding to the personnel ID according to the influence level of personnel age and the activity duration;

[0037] Calculate the weight coefficient αj through the formula

[0038] Furthermore, calculating the body impact coefficient SYXj corresponding to the personnel ID according to the personnel age impact level and activity duration includes:

[0039] Obtain the personnel age impact level ND and activity duration HS corresponding to the personnel ID in the personnel data; the personnel age impact level is evaluated by experts according to the reaction of different age groups to temperature changes;

[0040] Calculate the body impact coefficient SYXj through the formula ; where, β1 and β2 are weight coefficients, β1 and β2 ∈ (0, 1); DT is the unit time.

[0041] Furthermore, generating the air conditioner aging coefficient according to the air conditioner data includes:

[0042] Obtain the historical stable working duration WS, historical unstable working duration FWS in the air conditioner data, and the temperature W and humidity S in the corresponding working environment data;

[0043] Calculate the stable environment impact coefficient WHYXm through the formula

[0044] Calculate the unstable environment impact coefficient FWHYXn through the formula ; where, β3 and β4 are weight coefficients, β3 and β4 ∈ (0, 1); ZW and ZS are the optimal working temperature and optimal working humidity; DW is the unit temperature, and DS is the unit humidity;

[0045] Calculate the air conditioner aging coefficient KLX through the formula Among them, g is a proportionality coefficient, g ∈ (0, π / 2); β5 and β6 are weight coefficients, β5 and β6 ∈ (0, 1).

[0046] This application calculates the air conditioner aging coefficient through the stable working duration, historical unstable working duration of the air conditioner during operation, and the temperature and humidity in the corresponding working environment data, and monitors the air conditioner equipment in real time, so as to improve the working efficiency of the air conditioner.

[0047] Furthermore, generating an alarm signal according to the air conditioner aging coefficient includes:

[0048] Obtain the air conditioner aging coefficient;

[0049] Judge whether the air conditioner aging coefficient is greater than the aging threshold;

[0050] Yes, generate an air conditioner scrapping alarm signal; ​​

[0051] No, determine whether the air conditioner aging coefficient is greater than D times the aging threshold; if yes, generate an air conditioner maintenance warning signal; if no, do nothing; where D is a proportionality coefficient, and D ∈ (0, 1).

[0052] Further, calculating and adjusting the thermal comfort neutral value according to the air conditioner aging coefficient and the thermal comfort neutral value of the air conditioner room includes:

[0053] Obtain the air conditioner aging coefficient KLX and the thermal comfort neutral value KFRSZ of the air conditioner room;

[0054] Through the formula Calculate and adjust the thermal comfort neutral value; where γ1 is a proportionality coefficient, γ2 is an exponential coefficient, and γ1 and γ2 ∈ (0, 1).

[0055] Compared with the prior art, the beneficial effects of the present application are:

[0056] 1. The present application obtains environmental data, personnel data, and air conditioner data; calculates the comfortable temperature value of the air conditioner room according to the environmental data; calculates the thermal comfort neutral value of the air conditioner room according to the comfortable temperature value of the air conditioner room and the personnel data; generates an air conditioner aging coefficient according to the air conditioner data; generates an alarm signal according to the air conditioner aging coefficient; calculates and adjusts the thermal comfort neutral value according to the air conditioner aging coefficient and the thermal comfort neutral value of the air conditioner room; assigns the adjusted thermal comfort neutral value to the air conditioner equipment for adjustment, taking into account the external environmental temperature, the number of people in the room, the age influence, and the activity duration, making the thermal comfort neutral value of the air conditioner room more accurate. At the same time, considering the reduction of the air conditioner performance due to air conditioner aging, and updating the thermal comfort neutral value of the air conditioner room accordingly, improving the user comfort.

[0057] 2. The present application calculates the thermal comfort neutral value corresponding to the people in the room through the comfortable temperature value of the air conditioner room, personnel data, and environmental data. The thermal comfort neutral values corresponding to different people are different. Subsequently, assign corresponding weights to each person and comprehensively calculate the thermal comfort neutral value in the room, improving the efficiency of the dynamic adjustment method of the thermal comfort neutral value of the air conditioner room.

[0058] 3. The present application calculates and adjusts the thermal comfort neutral value according to the air conditioner aging coefficient and the thermal comfort neutral value of the air conditioner room, avoiding the situation that the effect of the air conditioner caused by air conditioner aging fails to meet the requirements of the thermal comfort neutral value of the air conditioner room, resulting in poor user experience. Description of the Drawings

[0059] To more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description 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.

[0060] Figure 1 It is a flowchart of a dynamic adjustment method for the thermal comfort neutral value in an air-conditioned room of the present application;

[0061] Figure 2 It is a flowchart for generating an alarm signal of the present application. Specific embodiments

[0062] The following will clearly and completely describe the technical solutions of the present application in combination with the embodiments. Obviously, the described embodiments are only some embodiments of the present application, rather than all 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.

[0063] Please refer to Figure 1 , the first aspect embodiment of the present application provides a dynamic adjustment method for the thermal comfort neutral value in an air-conditioned room, including:

[0064] S0: Obtain environmental data, personnel data, and air-conditioning data;

[0065] S1: Calculate the comfortable temperature value of the air-conditioned room according to the environmental data. The comfortable temperature value of the air-conditioned room refers to the temperature at which users feel comfortable in the air-conditioned room; calculate the thermal comfort neutral value of the air-conditioned room according to the comfortable temperature value of the air-conditioned room and the personnel data. The thermal comfort neutral value of the air-conditioned room refers to the temperature value when the human body is in a certain thermal environment and neither feels hot nor cold, that is, in a thermally neutral state, and is evaluated using the PMV index;

[0066] S2: Generate an air-conditioning aging coefficient according to the air-conditioning data. The air-conditioning aging coefficient refers to the aging degree of the air-conditioning equipment; generate an alarm signal according to the air-conditioning aging coefficient; calculate and adjust the thermal comfort neutral value according to the air-conditioning aging coefficient and the thermal comfort neutral value of the air-conditioned room. The adjusted thermal comfort neutral value refers to the thermal comfort neutral value of the air-conditioned room after considering the air-conditioning aging coefficient;

[0067] S3: Assign the adjusted thermal comfort neutral value to the air-conditioning equipment for adjustment;

[0068] S4: Make a prompt according to the alarm signal and contact the management personnel; the alarm signal includes an air-conditioning scrapping alarm signal and an air-conditioning maintenance warning signal, etc.

[0069] Calculating the comfortable temperature value of the air-conditioned room based on environmental data in this embodiment includes:

[0070] Obtain several outdoor temperatures Twi and the comfortable temperature range of the air-conditioned room from the environmental data;

[0071] Calculate the average value of several outdoor temperatures Twi to obtain the outdoor temperature Tw;

[0072] Calculate the comfortable temperature value KFSW of the air-conditioned room through a formula;

[0073] Among them, KFSWxx represents the lower limit value in the comfortable temperature range of the air-conditioned room, KFSWsx represents the upper limit value in the comfortable temperature range of the air-conditioned room; Tw-sx represents the upper limit value of the outdoor temperature, Tw-xx represents the lower limit value of the outdoor temperature; KFSW = f(Tw) represents the functional relationship between the comfortable temperature value of the air-conditioned room and the outdoor temperature, that is, for any outdoor temperature between the upper limit value and the lower limit value of the outdoor temperature, there is a corresponding comfortable temperature value of the air-conditioned room.

[0074] Taking summer as an example in this embodiment, the comfortable temperature range of the air-conditioned room is set between 24°C and 28°C; Tw-sx is set to 38°C, and Tw-xx is set to 30°C; when the outdoor temperature is between 30°C and 38°C, the functional expression for calculating the comfortable temperature of the air-conditioned room is set to KFSW = -a×T w +b; where a is a proportionality coefficient, a ∈ (0, 1), and the specific value is set according to experience, b is a constant, and the specific value is set according to experience; as the outdoor temperature rises, it is necessary to lower the comfortable temperature of the air-conditioned room to make the user experience better, so KFSW decreases accordingly.

[0075] Calculating the comfortable temperature value of the air-conditioned room through several outdoor temperatures in this embodiment can dynamically modify the value of the comfortable temperature of the air-conditioned room according to the temperature change of the external environment, so that the comfortable temperature value of the air-conditioned room can be within a certain range, improving the comfort of users in the air-conditioned room.

[0076] Calculating the thermal comfort neutral value of the air-conditioned room based on the comfortable temperature value of the air-conditioned room and personnel data in this embodiment includes:

[0077] Obtain the comfortable temperature value KFSW of the air-conditioned room, personnel data, and environmental data;

[0078] Calculate the thermal comfort neutral values of several personnel according to the comfortable temperature value KFSW of the air-conditioned room, personnel data, and environmental data;

[0079] Calculate the thermal comfort neutral value of the air-conditioned room according to the thermal comfort neutral values of several personnel.

[0080] Calculating the thermal comfort neutral values of several persons according to the comfortable temperature value KFSW of the air-conditioned room, personnel data, and environmental data in this embodiment includes:

[0081] Obtaining the environmental temperature, relative air humidity, comfortable temperature value of the air-conditioned room, wind speed, human metabolic rate, and clothing thermal resistance corresponding to several person IDs, and integrating them into personnel comprehensive data;

[0082] Inputting the personnel comprehensive data into the thermal comfort neutral value prediction model to obtain the thermal comfort neutral values corresponding to several person IDs; the thermal comfort neutral value prediction model is constructed through an artificial intelligence model.

[0083] The thermal comfort neutral value prediction model in this embodiment is constructed through an artificial intelligence model, including:

[0084] Obtaining several historical environmental temperatures, relative air humidities, comfortable temperature values of the air-conditioned room, wind speeds, human metabolic rates, and clothing thermal resistances and their corresponding thermal comfort neutral values, and integrating several historical environmental temperatures, relative air humidities, comfortable temperature values of the air-conditioned room, wind speeds, human metabolic rates, and clothing thermal resistances into several historical personnel comprehensive data;

[0085] Dividing several historical personnel comprehensive data and thermal comfort neutral values into training data, validation data, and test data; performing data preprocessing on the training data, validation data, and test data to obtain a training set, a validation set, and a test set; the ratio among the training set, the test set, and the validation set is 7:2:1;

[0086] Selecting an artificial intelligence model as the basic model; the artificial intelligence model includes a BP neural network model and an RBF neural network model;

[0087] Training the basic model through the training set, and adjusting the learning rate and hyperparameters on the validation set to obtain a pre-trained model;

[0088] Verifying the pre-trained model on the test set, and finally obtaining a thermal comfort neutral value prediction model with the input being the personnel comprehensive data and the output being the thermal comfort neutral value.

[0089] Calculating the thermal comfort neutral value of the air-conditioned room according to the thermal comfort neutral values of several persons in this embodiment includes:

[0090] Obtaining the thermal comfort neutral value RSZj corresponding to several person IDs;

[0091] Through the formula KFRSZ = ∑ j α j ×RSZ jCalculate the thermal comfort neutral value KFRSZ of the air-conditioned room; where αj is the weight coefficient, αj ∈ (0, 1); the weight coefficient is calculated based on personnel data; when the weight coefficient is determined, the thermal comfort neutral value of the air-conditioned room increases as the thermal comfort neutral values corresponding to several personnel IDs in the room increase.

[0092] The weight coefficient in this embodiment is calculated based on personnel data, including:

[0093] Obtain the personnel age influence level and activity duration in the personnel data;

[0094] Calculate the body influence coefficient SYXj corresponding to the personnel ID according to the personnel age influence level and activity duration;

[0095] Through the formula Calculate the weight coefficient αj; the weight coefficient increases as the body influence coefficient corresponding to the personnel ID increases.

[0096] Calculating the body influence coefficient SYXj corresponding to the personnel ID according to the personnel age influence level and activity duration in this embodiment includes:

[0097] Obtain the personnel age influence level ND and activity duration HS corresponding to the personnel ID in the personnel data; the personnel age influence level is evaluated by experts according to the reaction of different age groups to temperature changes; the activity duration refers to the duration of the personnel ID's activity within the time range;

[0098] Through the formula Calculate the body influence coefficient SYXj; where β1 and β2 are weight coefficients, β1 and β2 ∈ (0, 1), and the specific values are set according to experience. In this embodiment, it is considered that the influence of personnel age on the body influence coefficient is higher than that of activity time, so β1 > β2; DT is the unit time, and the specific value is set according to experience. In this embodiment, DT is set to 10 minutes; the higher the personnel age influence level and the longer the personnel's activity time, the more the corresponding thermal comfort neutral value needs to be considered; therefore, the body influence coefficient increases accordingly.

[0099] In this embodiment, the body influence coefficient corresponding to each personnel ID is calculated through the personnel age influence level and activity duration of that personnel ID, and the weight coefficient of the thermal comfort neutral value of the air-conditioned room is calculated as the ratio of the body influence coefficient of the personnel present in the room to the sum of the body influence coefficients of all personnel, so that when calculating the thermal comfort neutral value of the air-conditioned room, it is possible to focus on the people with higher body influence coefficients, improving the comfort and health level of users.

[0100] Generating the air-conditioning aging coefficient according to the air-conditioning data in this embodiment includes:

[0101] Obtain the historical stable working duration WS, the historical unstable working duration FWS of the air conditioner, and the temperature W and humidity S in the corresponding working environment data; the stable working duration refers to the working duration when the rotation speed of the air conditioner remains at any rotation speed; the unstable working duration refers to the working duration when the rotation speed of the air conditioner is changing;

[0102] Through the formula Calculate the stable environment influence coefficient WHYXm; the more the humidity in the working environment under the stable working duration deviates from the optimal working humidity, and the more the temperature deviates from the working temperature, the corresponding stable environment influence coefficient will increase accordingly;

[0103] Through the formula Calculate the unstable environment influence coefficient FWHYXn; where, β3 and β4 are weight coefficients, β3 and β4 ∈ (0, 1), and the specific values are set according to experience. In this embodiment, both β3 and β4 are set to 0.5, that is, it is considered that the influence of temperature and humidity on the aging of the air conditioner is the same; ZW and ZS are the optimal working temperature and the optimal working humidity; DW is the unit temperature, DS is the unit humidity, and the specific values are set according to experience. In this embodiment, DW is set to 1°C and DS is set to 1%; the more the humidity in the working environment under the unstable working duration deviates from the optimal working humidity, and the more the temperature deviates from the working temperature, the corresponding unstable environment influence coefficient will increase accordingly;

[0104] Calculate the air conditioner aging coefficient KLX through the formula; Among them, g is a proportionality coefficient, g ∈ (0, π / 2), and the setting of g is to make the air conditioner aging coefficient KLX ∈ (0, 1); β5 and β6 are weight coefficients, β5 and β6 ∈ (0, 1), and the specific values are set according to experience; the longer the unstable working duration, the greater the impact on the aging of the air conditioner. Therefore, the weight coefficient corresponding to the unstable working duration is set larger, so β5 < β6; the longer the working time, the greater the environmental influence coefficient during working, and the more serious the aging of the air conditioner. Therefore, the air conditioner aging coefficient increases accordingly.

[0105] In this embodiment, the air conditioner aging coefficient is calculated through the stable working duration and the historical unstable working duration of the air conditioner during operation, as well as the temperature and humidity in the corresponding working environment data, and the air conditioner equipment is monitored in real time, so as to improve the working efficiency of the air conditioner.

[0106] Please refer to Figure 2 , generating an alarm signal according to the air conditioner aging coefficient in this embodiment includes:

[0107] Obtain the air conditioner aging coefficient;

[0108] Judge whether the air conditioner aging coefficient is greater than the aging threshold, and the aging threshold is set according to experience;

[0109] Yes, generate an air conditioner scrapping alarm signal;

[0110] No, determine whether the air conditioner aging coefficient is greater than D times the aging threshold; if yes, generate an air conditioner maintenance warning signal; if no, do nothing; where D is a proportionality coefficient, D ∈ (0, 1), and the specific value is set according to experience. In this embodiment, D is set to 0.6.

[0111] The adjustment of the thermal comfort neutral value according to the air conditioner aging coefficient and the thermal comfort neutral value of the air conditioner room in this embodiment includes:

[0112] Obtain the air conditioner aging coefficient KLX and the thermal comfort neutral value KFRSZ of the air conditioner room;

[0113] Through the formula Calculate the adjusted thermal comfort neutral value; where γ1 is a proportionality coefficient, γ2 is an exponential coefficient, γ1 and γ2 ∈ (0, 1), and the specific values are set according to experience. The settings of γ1 and γ2 are to reduce the change rate of the adjusted thermal comfort neutral value and avoid the situation where the adjusted thermal comfort neutral value far exceeds its range when the air conditioner does not meet the scrapping conditions; as the air conditioner aging coefficient increases, the adjusted thermal comfort neutral value will also increase.

[0114] In this embodiment, the adjusted thermal comfort neutral value is obtained by adjusting the thermal comfort neutral value of the air conditioner room through the above steps, considering the influence of the air conditioner aging factor on the thermal comfort neutral value of the air conditioner room, making the adjusted thermal comfort neutral value more meet the user's needs and improving the user's experience.

[0115] Some of the data in the above formula are calculated by removing the dimension and taking its numerical value. The formula is obtained by software simulation of a large amount of collected data to get a formula closest to the real situation; the preset parameters and preset thresholds in the formula are set by those skilled in the art according to the actual situation or obtained through simulation of a large amount of data.

[0116] Working principle of this application: By obtaining environmental data, personnel data, and air-conditioning data; calculating the comfortable temperature value of the air-conditioned room according to the environmental data; calculating the thermal comfort neutral value of the air-conditioned room according to the comfortable temperature value of the air-conditioned room and the personnel data; generating an air-conditioning aging coefficient according to the air-conditioning data; generating an alarm signal according to the air-conditioning aging coefficient; calculating and adjusting the thermal comfort neutral value according to the air-conditioning aging coefficient and the thermal comfort neutral value of the air-conditioned room; assigning the adjusted thermal comfort neutral value to the air-conditioning equipment for adjustment, making a prompt according to the alarm signal, and contacting the management personnel, taking into account the outside environmental temperature, the number of people in the room, the influence of age, and the activity duration, making the thermal comfort neutral value of the air-conditioned room more accurate. At the same time, considering the reduction of air-conditioning performance caused by air-conditioning aging, and updating the thermal comfort neutral value of the air-conditioned room accordingly, improving the user comfort, and avoiding the problem that the prior art lacks consideration of other factors affecting the thermal comfort neutral value of the air-conditioned room, resulting in poor user experience and low efficiency of the adjustment method when adjusting the air-conditioning temperature through the thermal comfort neutral value method.

[0117] The above embodiments are only used to illustrate the technical method of this application and not to limit it. Although this application has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of this application can be modified or equivalently replaced without departing from the spirit and scope of the technical method of this application.

Claims

1. A method for dynamically adjusting the neutral value of thermal comfort in an air-conditioned room, characterized in that: include: S0: Acquire environmental data, personnel data and air conditioning data; S1: Calculate the comfort temperature value of the air-conditioned room based on the environmental data; calculate the thermal comfort neutral value of the air-conditioned room based on the comfort temperature value of the air-conditioned room and the personnel data; S2: Generate an air conditioner aging coefficient according to air conditioner data; generate an alarm signal according to the air conditioner aging coefficient; calculate and adjust the thermal comfort neutral value according to the air conditioner aging coefficient and the thermal comfort neutral value of the air-conditioned room; S3: Assign the adjusted thermal comfort neutral value to the air conditioning equipment for regulation; S4: Provide prompts based on alarm signals and contact management.

2. A method for dynamically adjusting the neutral value of thermal comfort in an air-conditioned room according to claim 1, characterized in that: The step of calculating the comfortable temperature value of the air-conditioned room according to the environmental data includes: Obtain several outdoor temperatures Twi and comfortable temperature ranges of air-conditioned rooms in environmental data; Calculate the average value of several outdoor temperatures Twi to obtain the outdoor temperature Tw; Calculate the comfort temperature value KFSW of the air-conditioned room through the formula; Among them, KFSWxx represents the lower limit value in the comfortable temperature range of the air-conditioned room, KFSWsx represents the upper limit value in the comfortable temperature range of the air-conditioned room; Tw-sx represents the upper limit value of the outdoor temperature, Tw-xx represents the lower limit value of the outdoor temperature; KFSW=f(Tw) represents the functional relationship between the comfort temperature value of the air-conditioned room and the outdoor temperature.

3. The method for dynamically adjusting the neutral value of thermal comfort in an air-conditioned room according to claim 1, characterized in that: The step of calculating the thermal comfort neutral value of the air-conditioned room according to the comfortable temperature value of the air-conditioned room and the personnel data includes: Obtain the comfortable temperature value KFSW, personnel data and environmental data of the air-conditioned room; Calculate the thermal comfort neutral value of several people based on the air-conditioned room comfort temperature value KFSW, personnel data and environmental data; The neutral thermal comfort value of the air-conditioned room is calculated based on the neutral thermal comfort values ​​of several people.

4. A method for dynamically adjusting the neutral value of thermal comfort in an air-conditioned room according to claim 3, characterized in that: The thermal comfort neutral values ​​of several persons are calculated according to the air-conditioned room comfort temperature value KFSW, the person data and the environmental data, including: Obtain the ambient temperature, relative air humidity, comfortable temperature value of the air-conditioned room, wind speed, human metabolic rate and clothing thermal resistance corresponding to several personnel IDs, and integrate them into comprehensive personnel data; The comprehensive data of personnel are input into a thermal comfort neutral value prediction model to obtain thermal comfort neutral values ​​corresponding to several personnel IDs; the thermal comfort neutral value prediction model is constructed through an artificial intelligence model.

5. A method for dynamically adjusting the neutral value of thermal comfort in an air-conditioned room according to claim 4, characterized in that: The thermal comfort neutral value estimation model is constructed by an artificial intelligence model, including: Obtain several historical ambient temperatures, relative air humidity, comfortable temperature values ​​of air-conditioned rooms, wind speeds, human metabolic rates, clothing thermal resistances and their corresponding thermal comfort neutral values, and integrate several historical ambient temperatures, relative air humidity, comfortable temperature values ​​of air-conditioned rooms, wind speeds, human metabolic rates and clothing thermal resistances into several historical personnel comprehensive data; Divide a number of historical personnel comprehensive data and thermal comfort neutral values ​​into training data, verification data and test data; perform data preprocessing on the training data, verification data and test data to obtain a training set, a verification set and a test set; Select an AI model as the base model; Train the basic model with the training set, and adjust the learning rate and hyperparameters on the validation set to obtain the pre-trained model; By verifying the pre-trained model on the test set, we finally obtained a thermal comfort neutral value estimation model with comprehensive personnel data as input and thermal comfort neutral value as output.

6. A method for dynamically adjusting the neutral value of thermal comfort in an air-conditioned room according to claim 3, characterized in that: The step of calculating the neutral thermal comfort value of the air-conditioned room according to the neutral thermal comfort values ​​of a plurality of persons comprises: Get the thermal comfort neutral value RSZj corresponding to several personnel IDs; Through the formula KFRSZ = ∑ j α j ×RSZ j Calculate the thermal comfort neutral value KFRSZ of the air-conditioned room; wherein αj is a weight coefficient, αj∈(0,1); the weight coefficient is calculated based on the personnel data.

7. A method for dynamically adjusting the neutral value of thermal comfort in an air-conditioned room according to claim 6, characterized in that: The weight coefficient is calculated based on personnel data, including: Obtain the personnel data to determine the age impact level and activity duration; Calculate the physical impact coefficient SYXj corresponding to the person ID according to the person's age impact level and activity duration; By formula Calculate the weight coefficient αj.

8. A method for dynamically adjusting the neutral value of thermal comfort in an air-conditioned room according to claim 7, characterized in that: The calculation of the physical influence coefficient SYXj corresponding to the person ID according to the person's age influence level and activity duration includes: Obtain the personnel age impact level ND and activity duration HS corresponding to the personnel ID in the personnel data; the personnel age impact level is assessed by experts based on the reactions of different age groups to temperature changes; By formula Calculate the body influence coefficient SYXj; where β1 and β2 are weight coefficients, β1 and β2∈(0,1); DT is the unit time.

9. The method for dynamically adjusting the neutral value of thermal comfort in an air-conditioned room according to claim 1, characterized in that: Generating the air conditioner aging coefficient according to the air conditioner data includes: Obtain the historical stable working time WS and the historical unstable working time FWS in the air conditioning data and the temperature W and humidity S in the corresponding working environment data; By formula Calculate the stable environmental impact coefficient WHYXm; By formula Calculate the non-stable environment impact coefficient FWHYXn; where β3 and β4 are weight coefficients, β3 and β4∈(0,1); ZW and ZS are the optimum working temperature and the optimum working humidity; DW is the unit temperature, and DS is the unit humidity; Calculate the air conditioner aging coefficient KLX through the formula; Among them, g is the proportional coefficient, g∈(0,π / 2); β5 and β6 are weight coefficients, β5 and β6∈(0,1).

10. The method for dynamically adjusting the neutral value of thermal comfort in an air-conditioned room according to claim 1, characterized in that: The step of calculating and adjusting the thermal comfort neutral value according to the air conditioner aging coefficient and the thermal comfort neutral value of the air-conditioned room includes: Obtain the air conditioner aging coefficient KLX and the thermal comfort neutral value KFRSZ of the air-conditioned room; By formula Calculate and adjust the neutral value of thermal comfort; where γ1 is the proportional coefficient, γ2 is the exponential coefficient, and γ1 and γ2∈(0,1).

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