CN112880152A - Dynamic temperature regulation and control method and system of personalized air conditioning system based on user state - Google Patents
Dynamic temperature regulation and control method and system of personalized air conditioning system based on user state Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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Abstract
The invention belongs to the technical field of building thermal environments and discloses a dynamic temperature regulation and control method and system of a personalized air conditioning system based on user states. The method provides an indoor environment with dynamically changed temperature for a user by applying an outdoor temperature change rule to the indoor environment, provides reasonable thermal stimulation for the user, and well maintains the thermal adaptability of a human body, so that the probability of a series of building syndromes such as 'air conditioning diseases' caused by the long-term steady-state thermal environment of the user is reduced, and the method sets the personal temperature comfort interval of the user as the temperature change amount to be applied to the dynamic temperature regulation and control method, fully considers the individual difference and better embodies the individuation; compared with the traditional dynamic temperature regulation and control method, the invention which takes the comfort of the user as the control target of the thermal environment better conforms to the theoretical view of thermal adaptation and better meets the environment preference characteristic of people.
Description
Technical Field
The invention belongs to the technical field of building thermal environments, and particularly relates to a dynamic temperature regulation and control method and system of a personalized air conditioning system based on user states.
Background
With the development of economy and the improvement of the living standard of people, the air conditioner gradually becomes an essential device in life with the function of regulating and controlling indoor heat comfortable environment. The existing air conditioner mainly aims at maintaining an indoor steady-state thermal environment, and because the steady-state environment cannot provide reasonable thermal stimulation for a user, the heat adaptability of a human body is weakened, a series of sick building syndromes such as 'air conditioning diseases' and the like can be caused, and the human health can be damaged in the past. Researchers at home and abroad find that people can feel real comfort only in an environment with dynamically changed temperature, so that a plurality of dynamic temperature regulation and control methods for indoor thermal environments are proposed in the industry.
The temperature fluctuation amount is a key factor of a dynamic temperature regulation method, and is generally set within the range of 27-29 ℃, but the optimal comfortable temperature range of a user in different states is not considered in the setting, so that the thermal environment control target which must be based on the comfort of the user is violated, and the significance of dynamic energy conservation is lost; the related dynamic temperature regulation and control methods mostly focus on dynamic regulation and control of wind speed and temperature, and researches on applying an outdoor temperature change rule to dynamic regulation and control of an indoor thermal environment and considering personalized thermal comfort are few, so that how to construct a reasonable dynamic temperature regulation and control method based on the outdoor temperature change rule and considering the optimal comfortable temperature range of a user in different states is a problem which needs to be researched in the field.
Disclosure of Invention
The invention aims to provide a dynamic temperature regulation and control method and system of a personalized air conditioning system based on user states, which are used for solving the problems that a series of sick building syndromes such as 'air conditioning diseases' and the like are caused by lack of proper thermal stimulation in an environment where a human body is at a steady-state temperature for a long time in the prior art.
In order to realize the task, the invention adopts the following technical scheme:
a dynamic temperature regulation and control method of a personalized air conditioning system based on user states comprises the following steps:
step 1: obtaining the indoor state of a user at any time on a regulation day and the maximum value t of the outdoor temperature of the regulation dayrmaxMinimum value t of outdoor temperature of regulation dayrminAnd the outdoor temperature t at any timepObtaining the average duration T of the indoor state and the comfortable temperature range [ T ] of the user in the indoor state according to the historical data of the usersmin,tsmax]；
Step 2: determining the temperature set value g (t) of the user at any time on the regulation day according to the formula I:
g(t)＝tsmin+f(tp,trmax,trmin)×(tsmax-tsmin) Formula I
Wherein, f (t)p,trmax,trmin) The temperature regulation coefficient is expressed and,
further, the indoor state in step 1 includes a sport state, a dining state, a working state, a leisure state and a sleeping state.
Further, the historical data of the user in step 1 are the starting time and the ending time of the indoor state of the user and the air conditioner temperature set value of the indoor state within 30 days;
the average duration time T ═ T of the indoor statee-TsWherein, TsDenotes the mean start time, TeWhich represents the average end time of the run,
Ts1indicates the starting time of the indoor state, T, on day 1 of 30 dayss30Is represented by 3The start time of the indoor state, T, on day 30 of day 0e1Indicates the starting time of the indoor state, T, on day 1 of 30 dayse30Represents the start time of the indoor state on day 30 of the 30 days;
said comfortable temperature range [ t ] of the user in the indoor statesmin,tsmax]In (1),
wherein, tsmin1Minimum value of temperature set value, t, representing the indoor state on day 1 of 30 dayssmin30Minimum value of temperature set value, t, representing the indoor state at 30 days out of 30 dayssmax1Maximum value of temperature set point, t, indicating the indoor state on day 1 of 30 dayssmax30The maximum value of the temperature set point indicating the indoor state on the 30 th day among the 30 th days.
A dynamic temperature regulation and control system of an individualized air conditioning system based on user states comprises a user individualized data acquisition unit and a temperature set value calculation unit;
the user personalized data acquisition unit is used for acquiring the indoor state of a user at any time on a regulation date and the maximum value t of the outdoor temperature on the regulation datermaxMinimum value t of outdoor temperature of regulation dayrminAnd the outdoor temperature t at any timepObtaining the average duration T of the indoor state and the comfortable temperature range [ T ] of the user in the indoor state according to the historical data of the usersmin,tsmax]；
The temperature set value calculating unit is used for determining the temperature set value g (t) of the user at any time on the regulation day according to the formula I:
g(t)＝tsmin+f(tp,trmax,trmin)×(tsmax-tsmin) Formula I
Wherein, f (t)p,trmax,trmin) The temperature regulation coefficient is expressed and,
further, the indoor state in the user personalized data acquisition unit comprises a motion state, a dining state, a working state, a leisure state and a sleeping state.
Further, the historical data of the user in the user personalized data acquisition unit is the starting time and the ending time of the indoor state of the user within 30 days and the air conditioner temperature set value of the indoor state;
the average duration time T ═ T of the indoor statee-TsWherein, TsDenotes the mean start time, TeWhich represents the average end time of the run,
Ts1indicates the starting time of the indoor state, T, on day 1 of 30 dayss30Indicates the starting time of the indoor state, T, on day 30 of 30 dayse1Indicates the starting time of the indoor state, T, on day 1 of 30 dayse30Represents the start time of the indoor state on day 30 of the 30 days;
said comfortable temperature range [ t ] of the user in the indoor statesmin,tsmax]In (1),
wherein, tsmin1Minimum value of temperature set value, t, representing the indoor state on day 1 of 30 dayssmin30Minimum value of temperature set value, t, representing the indoor state at 30 days out of 30 dayssmax1Maximum value of temperature set point, t, indicating the indoor state on day 1 of 30 dayssmax30The maximum value of the temperature set point indicating the indoor state on the 30 th day among the 30 th days.
Compared with the prior art, the invention has the following technical characteristics:
(1) the invention provides a dynamic temperature regulation and control method of a personalized air conditioning system based on user states, which provides an indoor environment with dynamically changing temperature for a user by applying an outdoor temperature change rule to the indoor environment, provides reasonable thermal stimulation for the user, and well maintains the thermal adaptability of a human body, thereby reducing the probability of a series of building syndromes such as 'air conditioning diseases' caused by the long-term steady-state thermal environment of the user.
(2) According to the invention, through data acquisition, comfortable temperature intervals of the user in different states are determined, and the personal temperature comfortable interval of the user is set as the temperature variation amount to be applied to the dynamic temperature regulation and control method, so that individual differences are fully considered, and individuation is more embodied; compared with the traditional dynamic temperature regulation and control method, the invention which takes the comfort of the user as the control target of the thermal environment better conforms to the theoretical view of thermal adaptation and better meets the environment preference characteristic of people.
Drawings
FIG. 1 is a graph of temperature set points in A-laboratory day;
FIG. 2 is a graph of the temperature set point in the B-laboratory day;
FIG. 3 is a graph of the temperature set point in the third-experiment day room;
FIG. 4 is a graph summarizing the indoor temperature set points for the A, B, and C laboratories;
FIG. 5 is a graph of the A-test daily PMV-PDD index;
FIG. 6 is a B-Experimental daily PMV-PDD index plot;
FIG. 7 is a graph of the third-experimental day PMV-PDD index.
Detailed Description
The embodiment discloses a dynamic temperature regulation and control method of a personalized air conditioning system based on user states, which comprises the following steps:
step 1: obtaining the indoor state of a user at any time on a regulation day and the maximum value t of the outdoor temperature of the regulation dayrmaxMinimum value t of outdoor temperature of regulation dayrminAnd the outdoor temperature t at any timepObtaining the average duration T of the indoor state and the comfortable temperature range [ T ] of the user in the indoor state according to the historical data of the usersmin,tsmax]；
Step 2: determining the temperature set value g (t) of the user at any time on the regulation day according to the formula I:
g(t)＝tsmin+f(tp,trmax,trmin)×(tsmax-tsmin) Formula I
Wherein, f (t)p,trmax,trmin) The temperature regulation coefficient is expressed and,
specifically, the indoor state in step 1 includes a sport state, a dining state, a working state, a leisure state, and a sleeping state. Wherein: the exercise state is the state that the user can do exercise indoors such as yoga, push-up, sit-up, hula hoop rotation and the like; the dining state is the state that the user eats breakfast, lunch and dinner; the working state is the state of working or learning of the user; the leisure state is the state of relaxing the user in entertainment such as watching TV, playing mobile phone, reading book and the like; the sleep state is the state that the user sleeps at night and has a nap.
Specifically, the historical data of the user in step 1 is the starting time and the ending time of the indoor state of the user and the air conditioner temperature set value of the indoor state within 30 days;
the average duration time T ═ T of the indoor statee-TsWherein, TsDenotes the mean start time, TeWhich represents the average end time of the run,
Ts1indicates the starting time of the indoor state, T, on day 1 of 30 dayss30Indicates the starting time of the indoor state, T, on day 30 of 30 dayse1Indicates the starting time of the indoor state, T, on day 1 of 30 dayse30Represents the start time of the indoor state on day 30 of the 30 days;
said comfortable temperature range [ t ] of the user in the indoor statesmin,tsmax]In (1),
wherein, tsmin1Minimum value of temperature set value, t, representing the indoor state on day 1 of 30 dayssmin30Minimum value of temperature set value, t, representing the indoor state at 30 days out of 30 dayssmax1Maximum value of temperature set point, t, indicating the indoor state on day 1 of 30 dayssmax30The maximum value of the temperature set point indicating the indoor state on the 30 th day among the 30 th days.
Specifically, in this embodiment, the air conditioning control period T is 0.5h, which means that air conditioning control is performed every 0.5 h.
The embodiment also discloses a dynamic temperature regulation and control system of the personalized air conditioning system based on the user state, which is characterized by comprising a user personalized data acquisition unit and a temperature set value calculation unit;
the user personalized data acquisition unit is used for acquiring the indoor state of a user at any time on a regulation date and the maximum value t of the outdoor temperature on the regulation datermaxMinimum value t of outdoor temperature of regulation dayrminAnd the outdoor temperature t at any timepObtaining the average duration T of the indoor state and the comfortable temperature range [ T ] of the user in the indoor state according to the historical data of the usersmin,tsmax]；
The temperature set value calculating unit is used for determining the temperature set value g (t) of the user at any time on the regulation day according to the formula I:
g(t)＝tsmin+f(tp,trmax,trmin)×(tsmax-tsmin) Formula I
Wherein, f (t)p,trmax,trmin) The temperature regulation coefficient is expressed and,
specifically, the indoor state in the user personalized data acquisition unit includes a motion state, a dining state, a working state, a leisure state and a sleeping state.
Specifically, the historical data of the user in the user personalized data acquisition unit is the starting time and the ending time of the indoor state of the user within 30 days and the air conditioner temperature set value of the indoor state;
the average duration time T ═ T of the indoor statee-TsWherein, TsDenotes the mean start time, TeWhich represents the average end time of the run,
Ts1indicates the starting time of the indoor state, T, on day 1 of 30 dayss30Indicates the starting time of the indoor state, T, on day 30 of 30 dayse1Indicates the starting time of the indoor state, T, on day 1 of 30 dayse30Represents the start time of the indoor state on day 30 of the 30 days;
said comfortable temperature range [ t ] of the user in the indoor statesmin,tsmax]In (1),
wherein, tsmin1Minimum value of temperature set value, t, representing the indoor state on day 1 of 30 dayssmin30Minimum value of temperature set value, t, representing the indoor state at 30 days out of 30 dayssmax1Maximum value of temperature set point, t, indicating the indoor state on day 1 of 30 dayssmax30The maximum value of the temperature set point indicating the indoor state on the 30 th day among the 30 th days.
Example 2
In order to verify the practical effect of the present invention, the embodiment discloses the experimental results of the dynamic temperature control method for the personalized air conditioning system based on the user status on 3 healthy, working at home and living adults in the apartment, that is, the users in the method are respectively a, b, c, and the collected data are shown in table 1:
TABLE 1 user information Table
As can be seen from table 1, the durations of the states of the user are different, wherein the minimum duration of the different states of the user is 25 minutes, so that the temperature regulation and control period is determined to be 0.5h for convenience of calculation; in real life, the user state is not limited to the above 5 states, and the remaining states are maintained for a short time, so that when the current state of the user is not in the above 5 states, the temperature is regulated according to the previous state of the user.
Taking typical working days of 8, 15 and 15 days of summer in 2020 and 15 days of a certain city as regulation days, collecting outdoor environment temperature data of the days, determining user states and corresponding comfortable temperature ranges, calculating the temperature set value of the indoor air conditioner according to the steps, and calculating results are shown in tables 2, 3 and 4:
TABLE 2 first-2020 th-8 th-15 th day indoor temperature set value
TABLE 3 indoor temperature settings for 8, month and 15 days of year 2020
TABLE 4 indoor temperature settings of 8 months and 15 months in year-2020
As shown in tables 2, 3, and 4, the air-conditioning temperature setting values at different times are all within the comfortable temperature range of the current state, and the air-conditioning temperature setting values dynamically change with the change of the outdoor temperature.
The experimental effect evaluation in this example adopts the PMV-PPD index proposed by professor Fanger of danish scholars, which comprehensively considers six major factors affecting thermal comfort of human body, including air temperature, air speed, relative humidity, average radiation temperature, human metabolic rate and clothing thermal resistance, and is widely applied to analyze thermal comfort.
The PMV comfort index formula is described as follows:
wherein,
in the formula:
m-human metabolism Rate (W/M)2) The value range of the common metabolic rate is 59-69;
w-mechanical work done externally by the human body (W/m)2) The preferable value range of human body doing work externally is 0 to1; pa-partial pressure of water vapor (Pa);
ta-room air temperature (deg.c);
tr-mean radiation temperature (c);
fcl-the surface area coefficient of the garment, calculated from equation-2;
Iclclothing thermal resistance (m)2K/W); the preferable value range is 0.045-0.225;
tcl-the outer surface temperature (° c) of the garment is calculated from formula-3;
hc-convective heat transfer coefficient (W/(m)2DEG C.)) calculated from formula-4;
Vathe air flow rate (m/s) is usually within a value range of 0.2-3, and the preferable value range is 0.25-2.
The relationship between PMV and PPD is shown in equation-5.
When the PMV is between-0.5 and the PPD is less than or equal to 10 percent (namely 10 percent of people are allowed to feel unsatisfactory), the indoor environment is a comfortable environment.
The temperature set values in tables 2, 3 and 4 are substituted into a PMV-PPD calculation formula, the thermal comfort values and the dissatisfaction rates of the experimental objects in different states are calculated and checked, and the calculation results are shown in tables 5, 6, 7 and 8.
TABLE 5 thermal comfort and dissatisfaction for different conditions of the nail
TABLE 6 thermal comfort and dissatisfaction for various conditions of B
TABLE 7 thermal comfort and dissatisfaction rates for different conditions
As shown in tables 5, 6, and 7, the PMV and the PDD of the user in different states at different times all meet the thermal comfort requirement, i.e., -0.5< PMV <0.5, and PPD < 10%, so that it can be shown that the thermal comfort requirement of the experimental object is met in the indoor thermal environment when the personalized air conditioning system dynamic temperature control method based on the user state is adopted.
Claims (6)
1. A dynamic temperature regulation and control method of a personalized air conditioning system based on user states is characterized by comprising the following steps:
step 1: obtaining the indoor state of a user at any time on a regulation day and the maximum value t of the outdoor temperature of the regulation dayrmaxMinimum value t of outdoor temperature of regulation dayrminAnd the outdoor temperature t at any timepObtaining the room based on the user's historical dataAverage duration T of inner state and comfortable temperature range [ T ] of the user in the indoor statesmin,tsmax]；
Step 2: determining the temperature set value g (t) of the user at any time on the regulation day according to the formula I:
g(t)＝tsmin+f(tp,trmax,trmin)×(tsmax-tsmin) Formula I
Wherein, f (t)p,trmax,trmin) The temperature regulation coefficient is expressed and,
2. the method as claimed in claim 1, wherein the indoor state in step 1 includes a sport state, a dining state, an operating state, a leisure state and a sleeping state.
3. The method as claimed in claim 1, wherein the user's history data in step 1 is a start time, an end time and an air conditioner temperature setting value of the indoor state of the user within 30 days;
the average duration time T ═ T of the indoor statee-TsWherein, TsDenotes the mean start time, TeWhich represents the average end time of the run,
Ts1indicates the starting time of the indoor state, T, on day 1 of 30 dayss30Indicates the starting time of the indoor state, T, on day 30 of 30 dayse1Indicates the starting time of the indoor state, T, on day 1 of 30 dayse30Represents the start time of the indoor state on day 30 of the 30 days;
the comfortable temperature of the user in the indoor stateDegree range [ tsmin,tsmax]In (1),
wherein, tsmin1Minimum value of temperature set value, t, representing the indoor state on day 1 of 30 dayssmin30Minimum value of temperature set value, t, representing the indoor state at 30 days out of 30 dayssmax1Maximum value of temperature set point, t, indicating the indoor state on day 1 of 30 dayssmax30The maximum value of the temperature set point indicating the indoor state on the 30 th day among the 30 th days.
4. A dynamic temperature regulation and control system of an individualized air conditioning system based on user states is characterized by comprising a user individualized data acquisition unit and a temperature set value calculation unit;
the user personalized data acquisition unit is used for acquiring the indoor state of a user at any time on a regulation date and the maximum value t of the outdoor temperature on the regulation datermaxMinimum value t of outdoor temperature of regulation dayrminAnd the outdoor temperature t at any timepObtaining the average duration T of the indoor state and the comfortable temperature range [ T ] of the user in the indoor state according to the historical data of the usersmin,tsmax]；
The temperature set value calculating unit is used for determining the temperature set value g (t) of the user at any time on the regulation day according to the formula I:
g(t)＝tsmin+f(tp,trmax,trmin)×(tsmax-tsmin) Formula I
Wherein, f (t)p,trmax,trmin) The temperature regulation coefficient is expressed and,
5. the system of claim 4, wherein the indoor states of the user-customized data collecting unit include a sport state, a dining state, a working state, a leisure state and a sleeping state.
6. The system as claimed in claim 4, wherein the historical data of the user in the user-customized data collecting unit is a start time, an end time and an air-conditioning temperature setting value of the indoor state of the user within 30 days;
the average duration time T ═ T of the indoor statee-TsWherein, TsDenotes the mean start time, TeWhich represents the average end time of the run,
Ts1indicates the starting time of the indoor state, T, on day 1 of 30 dayss30Indicates the starting time of the indoor state, T, on day 30 of 30 dayse1Indicates the starting time of the indoor state, T, on day 1 of 30 dayse30Represents the start time of the indoor state on day 30 of the 30 days;
said comfortable temperature range [ t ] of the user in the indoor statesmin,tsmax]In (1),
wherein, tsmin1Minimum value of temperature set value, t, representing the indoor state on day 1 of 30 dayssmin30Minimum value of temperature set value, t, representing the indoor state at 30 days out of 30 dayssmax1Maximum value of temperature set point, t, indicating the indoor state on day 1 of 30 dayssmax30The maximum value of the temperature set point indicating the indoor state on the 30 th day among the 30 th days.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117346271A (en) * | 2023-12-04 | 2024-01-05 | 常州永佳软件技术有限公司 | Indoor environment management and control system and method based on visual ai deep learning |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6609384B2 (en) * | 2001-03-12 | 2003-08-26 | Tokyo Institute Of Technology | Dynamic type ice cold storage method |
| JP2010097257A (en) * | 2008-10-14 | 2010-04-30 | Nec Corp | Processor control system, method, and program |
| CN109764485A (en) * | 2018-12-25 | 2019-05-17 | 中国铁路总公司 | A kind of air conditioner energy saving control method and device based on comfort level |
| CN111442478A (en) * | 2020-03-10 | 2020-07-24 | 珠海派诺科技股份有限公司 | Air conditioning system optimization control method, intelligent terminal and storage device |
-
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- 2021-02-04 CN CN202110156536.2A patent/CN112880152B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6609384B2 (en) * | 2001-03-12 | 2003-08-26 | Tokyo Institute Of Technology | Dynamic type ice cold storage method |
| JP2010097257A (en) * | 2008-10-14 | 2010-04-30 | Nec Corp | Processor control system, method, and program |
| CN109764485A (en) * | 2018-12-25 | 2019-05-17 | 中国铁路总公司 | A kind of air conditioner energy saving control method and device based on comfort level |
| CN111442478A (en) * | 2020-03-10 | 2020-07-24 | 珠海派诺科技股份有限公司 | Air conditioning system optimization control method, intelligent terminal and storage device |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117346271A (en) * | 2023-12-04 | 2024-01-05 | 常州永佳软件技术有限公司 | Indoor environment management and control system and method based on visual ai deep learning |
| CN117346271B (en) * | 2023-12-04 | 2024-02-02 | 常州永佳软件技术有限公司 | Indoor environment management and control system and method based on visual ai deep learning |
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