CN108489014A - A kind of indoor environment intelligence kinetic-control system and its control method - Google Patents

Abstract

The present invention provides an intelligent dynamic control system for an indoor environment and a control method thereof. The system includes: a control subsystem, a data acquisition subsystem respectively communicated with the control subsystem, a meteorological subsystem, an adjustment subsystem and Interactive interface. The technical scheme provided by the present invention has simple system, convenient implementation, good control effect, and remarkable energy-saving effect; the microclimate data is collected through the meteorological subsystem, and compared with the indoor parameters collected by the data collection subsystem, the control subsystem obtains through analysis Various comfort parameters of the environment, the adjustment subsystem adjusts indoor temperature, humidity, ventilation and other parameters to provide the most comfortable environment for indoor residents; and it can achieve constant control and adjustment, which not only ensures comfort, but also avoids discomfort Necessary energy consumption; and each household and each room are adjusted separately, the space is small, and the adjustment efficiency is high.

Description

An intelligent dynamic control system and control method for an indoor environment

technical field

The invention relates to an indoor environment control system, in particular to an indoor environment intelligent dynamic control system and a control method thereof.

Background technique

With the rapid development of urbanization, buildings have been upgraded from the basic functions of guaranteeing living to high-quality life, and the function of buildings is an important factor reflecting the quality of living, and the control of indoor environmental parameters has become more and more It tends to be intelligent and personalized.

There are generally two forms of current indoor environmental control. One is a household-style independent air-conditioning and fresh air system of "multi-connection + fresh air blower"; the other is a centralized air-conditioning fresh air system of the "radiation end + centralized fresh air" type based on the concept of "constant temperature, constant humidity, and constant oxygen". The two systems generally have problems such as high energy consumption, low efficiency, poor comfort, and difficult operation and management, and cannot perform real-time dynamic adjustments in accordance with changes in outdoor meteorological parameters and the status needs of different indoor personnel, and cannot satisfy users' requirements for indoor environments. Personalized needs: the central air-conditioning system at the radiation end has poor adjustability, slow system feedback, and a gap with the human body’s thermal perception, resulting in poor comfort; living at a temperature of “constant temperature, constant humidity, and constant oxygen” for a long time will cause The heat resistance of the human body is poor, and it will be accompanied by various discomforts in the nervous system, digestive system, respiratory system, skin and mucous membranes; the traditional "multi-connection + fresh air" household independent system, temperature adjustment, humidity adjustment and ventilation adjustment It is difficult to adapt among the three, it is difficult to set to the optimal state point, and it is difficult to obtain a sense of comfort.

Therefore, it is necessary to provide an intelligent dynamic control system for indoor environment and its control method, so that it can adjust the indoor temperature parameters with the change of outdoor environment, so as to reduce energy consumption and improve efficiency.

Contents of the invention

Aiming at the deficiencies of the prior art, the applicant designed an intelligent dynamic control system for the indoor environment; the system can adjust the parameters of the indoor environment as the outdoor environment changes, and is energy-saving, low-consumption, and highly efficient.

The purpose of the present invention is achieved through the following technical solutions:

The present invention provides an intelligent dynamic control system for indoor environment, said system comprising:

A control subsystem, a data acquisition subsystem, a meteorological subsystem, an adjustment subsystem and a human-computer interaction interface respectively communicated with the control subsystem.

Preferably, the control subsystem includes: an automatic setting module, a temperature control module, a humidity control module, a storage module, a human-computer interaction module, and a parameter output module;

The human-computer interaction module is respectively connected with the automatic setting module, the temperature control module and the humidity control module;

The storage interaction module is respectively connected with the automatic setting module, the temperature control module and the humidity control module;

The parameter output module is respectively connected with the automatic setting module, the temperature control module and the humidity control module.

preferred,

The temperature control module includes a traditional control unit, an intelligent control unit and an evaluation control unit;

The parameter output module includes a temperature output unit, a humidity output unit and a fresh air output unit;

The automatic setting module, the traditional control unit, the intelligent control unit and the evaluation control unit are respectively connected to the temperature output unit;

The automatic setting module and the humidity control module are respectively connected to the humidity output unit.

Preferably, the data acquisition subsystem includes a temperature sensor, a humidity sensor, a PM2.5 sensor and a CO ₂ sensor.

Preferably, the temperature sensor is connected to the automatic setting module and the temperature regulation module respectively.

Preferably, the humidity sensor is connected to the humidity control module.

Preferably, the PM2.5 sensor and the CO ₂ sensor are respectively connected to the fresh air output unit.

Preferably, the regulating subsystem includes temperature regulating equipment, humidity regulating equipment, and fresh air equipment;

The temperature adjustment device is connected to the temperature output unit;

The humidity adjustment device is connected to the humidity adjustment unit;

The fresh air device is connected to the fresh air output unit.

Preferably, the temperature adjustment equipment, the humidity adjustment equipment, and the fresh air equipment are respectively provided with a number of adjustment units greater than one in the shared room.

Preferably, the meteorological subsystem includes:

Temperature sensor, humidity sensor, PM2.5 sensor, solar radiation sensor, wind speed sensor, wind pressure sensor, rainfall sensor;

The temperature sensor is respectively connected with the storage module and the temperature control module;

The humidity sensor is connected to the humidity control module.

Based on the same inventive concept, the present invention also provides a control method for the above-mentioned indoor environment intelligent dynamic control system, the method includes the following steps:

(1) sending an operation instruction to the control subsystem through the human-computer interaction interface;

(2) The control subsystem determines control parameters according to the operation instructions;

(3) The control subsystem sends the control parameters to the regulation subsystem.

Preferably, the operation instructions in the step (1) include:

Automatic setting command, temperature control command and humidity control command;

The temperature regulation instruction includes an intelligent regulation instruction and an evaluation regulation instruction.

Preferably, said step (2) includes:

When the operation command is a traditional control command, the traditional control unit uses the temperature value input by the man-machine interface as the temperature control value and sends it to the temperature output unit and the storage module respectively;

When the operation instruction is an intelligent control instruction, the intelligent control unit determines the temperature control value according to the parameters input by the man-machine interface and sends it to the temperature output unit and the storage module respectively;

When the operation instruction is an evaluation control instruction, the evaluation control unit determines the temperature control value according to the evaluation value input by the man-machine interface and sends it to the temperature output unit and the storage module respectively;

When the operation instruction is an automatic setting instruction, the automatic setting module determines the temperature control value according to the automatic setting instruction and sends it to the temperature output unit and the storage module respectively; or

When the operation command is a humidity control command, the humidity control module determines a humidity control parameter according to the humidity evaluation level input by the man-machine interface and sends it to the humidity output unit.

Preferably, when the operation instruction is an intelligent regulation instruction, determining the temperature control value by the intelligent regulation unit according to the parameters input by the human-computer interaction interface includes:

The intelligent control unit calculates the air temperature t _a around the human body according to the following average thermal sensation index PMV formula:

PMV＝(0.303e ^-0.036M +0.0275)×{MW-3.05[5.733-0.007(MW)-P _a ]

-0.42(MW-58.15)-1.73×10 ^-2 M(5.867-P _a )-f _cl h _c (t _cl -t _a )

-0.0014M(34-t _a )-3.96×10 ^-8 f _cl [t _cl +273) ⁴ -(t _r +273) ⁴ ]}

In the formula: In the formula, M is the metabolic rate of the human body, W/m ² ; W is the mechanical work done by the human body, W/m ² ; h _c is the convective heat transfer coefficient, W/m ² ·℃; P _a is the human body Partial pressure of water vapor in the surrounding air, P _a ; f _cl is the clothing area coefficient; t _r is the average indoor radiation temperature, ℃; t _cl is the outer surface temperature of the clothing, ℃;

Using the air temperature t _a around the human body as the temperature control value T _set(n) of the day;

The parameters input by the intelligent control unit according to the human-computer interaction interface include: the age of the user and the type of clothing;

The types of clothing include: down jackets, cotton clothes, windbreakers, sports and leisure jackets, suit jackets, sweaters, woolen vests, autumn clothes, sweaters, long-sleeved shirts, T-shirts, jeans, trousers, wool pants, fleece pants, autumn Pants, line pants, shorts, skirts, dresses, socks, stockings, leather shoes, sneakers, sandals;

The clothing thermal resistance of the entire clothing is obtained by adding the thermal resistance of each clothing; the thermal resistance of various clothing includes:

Down jacket 0.55, cotton clothing 0.5, windbreaker 0.4, sports and leisure jacket 0.3, suit jacket jacket 0.25, sweater 0.28, woolen vest 0.12, autumn clothes/line clothes 0.2, long-sleeved shirt/T-shirt 0.2, short-sleeved shirt/T-shirt 0.09, jeans / trousers 0.2, wool trousers 0.28, fleece trousers 0.25, long johns/line trousers 0.2, shorts 0.06, skirts 0.14, dresses 0.2, socks 0.02, stockings 0.05, leather shoes/sports shoes 0.1, sandals 0.02.

Preferably, the metabolic rate M of the human body is calculated according to the following formula:

M=(M'-0.8)+[72.91-2.03A+0.0437A ² -0.00031A ³ ]/58.2;

In the formula: M' is the metabolic rate of the human body under different types of activities, and A is the age in the parameters.

Preferably, the value of the PMV includes:

Calculate the maximum and minimum values of the average outdoor sliding temperature in the city where the city is located, and establish a corresponding relationship between the temperature range from the minimum value to the maximum value and the PMV value range [-1, 1]:

When the outdoor temperature reaches the maximum value, PMV takes 1;

When the outdoor temperature reaches the minimum value, PMV takes -1;

When the outdoor temperature is between the maximum value and the minimum value, the PMV takes a value in the PMV range [-1, 1] corresponding to the temperature.

Preferably, the evaluation and control unit determining the temperature control value according to the evaluation value input by the human-computer interaction interface includes:

(1) Obtain its internal storage (a', T', TSV') from the storage module, and obtain the indoor temperature from the acquisition subsystem;

(2) Determine the temperature control value based on the evaluation value, the (a', T', TSV') and the indoor temperature.

Preferably, when the evaluation control unit is regulated for the first time, the step (2) includes:

First, the (a ₁ , T ₁ , TSV ₁ ) signal is sent to the storage module, and the storage module sends (a ₁ , T ₁ , TSV ₁ ) in the form of (a', T', TSV') storage;

In the formula: T ₁ is the indoor temperature when the first adjustment is made; TSV ₁ is the evaluation value of the first adjustment, and its value ranges from 2 to -2, and the corresponding evaluation value ranges from 0 to 2 when the human body feels hot; when the human body feels cold The corresponding evaluation value ranges from -2 to 0; a ₁ is the Griffith coefficient, a ₁ =0.33;

Second, calculate the temperature control value T _set1 according to the following formula:

T _set1 =T ₁ -TSV ₁ /a ₁ .

Preferably, when the evaluation regulation unit is not regulated for the first time, the step (2) includes:

Calculate the judgment parameter B according to the following formula:

In the formula: TSV' is the evaluation value stored in the storage module, T' is the indoor temperature stored in the storage module, TSV _(n) is the evaluation value of the nth regulation, T _(n) is the temperature of the nth regulation Indoor temperature; n≥2;

If B∈[0.2,0.5], then calculate the temperature control value T _set(n) as follows:

First, modify the Griffith coefficient, indoor temperature and evaluation value according to the following formula:

a _n = [0.2(TSV _(n) -TSV')/(T _(n) -T')+0.8a'];

T _(n) '=(T'+T _(n) )/2;

TSV _(n) '=[TSV'+TSV _(n) ]/2;

In the formula: a _n is the Griffith coefficient after correction, T _(n) ' is the room temperature during the nth regulation after correction, and TSV _(n) ' is the evaluation value during the nth regulation after correction;

Second, send (a _n , T _(n) ', TSV _(n) ') to the storage module, and the storage module uses the value of (a _n , T _(n) ', TSV _(n) ') update(a', T', TSV'), and store it;

Third, calculate the temperature control value T _set(n) of the nth regulation according to the following formula:

T _{set (n)} = T _(n) '-TSV _(n) '/a _n ;

like The temperature control value T _set(n) of the nth regulation is obtained according to the following formula:

T _{set (n)} = T _(n) - TSV _(n) /a'.

Preferably, when the operation instruction is an automatic setting instruction, the automatic setting module determining the temperature control value according to the automatic setting instruction includes:

The automatic setting module acquires the outdoor average temperature T _omn of the day, the average outdoor temperature T _om(n-1) of the previous day, and the average indoor temperature of the same time period of the previous day from the storage module T _im(n-1) ;

The automatic setting unit calculates the temperature control value T _set(n) according to the following formula:

T _set(n) =T _im(n-1) +0.3[T _om(n) -T _om(n-1) ].

Preferably, the determination of the indoor sliding average temperature includes:

Divide the 24 hours of each day into several time periods according to the preset number;

The indoor sliding average temperature in each time period in the first day of installing the intelligent dynamic control system is replaced by the actual indoor average temperature in the corresponding time period respectively;

The average temperature of indoor sliding in each time period of other days is calculated according to the following formula:

T _im(n) = 0.2T _set(n) +0.8T _im(n-1) ;

In the formula: T _{set (n)} is the last set temperature control value in this period; T _{im (n-1)} is the indoor sliding average temperature in the same period of the (n-1) day;

The storage module calculates the indoor sliding average temperature in the time period at the end of each time period and stores the calculation result.

Preferably, the determination of the outdoor sliding average temperature includes:

The outdoor sliding temperature T _om(1) of the first day of installing the intelligent dynamic control system is replaced by the outdoor average temperature calculated by the weather forecast data of the day;

The other daily outdoor sliding temperature T _om(n) is calculated according to the following formula:

T _om(n) = 0.8T _out(n) +0.2T _om(n-1) ;

In the formula: T _{out (n)} is the average outdoor temperature of the day calculated according to the weather forecast data of the nth day;

The storage module calculates the outdoor sliding average temperature of the day at 00:00 every day and stores the calculation result.

Preferably, when the operation instruction is a humidity control instruction, the humidity control module determines the humidity control parameters according to the humidity evaluation level input by the human-computer interaction interface, including:

Acquiring the indoor humidity value from the humidity sensor of the collection subsystem, and obtaining the temperature control value from the temperature control module;

calculating a humidity threshold according to the temperature control value;

A humidity control parameter is determined according to the relationship between the humidity value and the humidity threshold and the humidity evaluation level.

Preferably, the evaluation grades include: very dry, dry, comfortable, wet, and very wet.

Preferably, the humidity control module determines the humidity control parameters according to the relationship between the humidity value and the humidity threshold and the humidity evaluation level includes:

If the humidity value is lower than the lower humidity threshold, and there is no evaluation information or the evaluation information is very dry, dry, comfortable, damp, or very humid, then the control instruction is to humidify with rated power to above the lower humidity threshold;

If the humidity value is higher than the humidity upper threshold, and there is no evaluation information or the evaluation information is very dry, dry, comfortable, humid, or very humid, then the control instruction is to dehumidify the rated power to below the humidity upper threshold;

The humidity value is between the humidity lower threshold and the humidity upper threshold, and there is no humidity evaluation information, then the control instruction is no action;

The humidity value is between the humidity lower threshold and the humidity upper threshold, and the humidity evaluation information is dry, then 50% power humidification;

The humidity value is between the humidity lower threshold and the humidity upper threshold, and the humidity evaluation information is very dry, then the rated power is used for humidification;

The humidity value is between the lower humidity threshold and the upper humidity threshold, and the humidity evaluation information is wet, then 50% power dehumidification;

If the humidity value is between the lower humidity threshold and the upper humidity threshold, and the humidity evaluation information is very humid, the rated power is humid.

Preferably, the humidity upper threshold is 70% of the saturated vapor pressure corresponding to the temperature control value.

Preferably, the humidity lower limit threshold is 40% of the saturated vapor pressure corresponding to the temperature control value.

Preferably, the saturated vapor pressure P _ws corresponding to the temperature set point T _set is calculated as follows:

Compared with the closest prior art, the beneficial effects of the present invention are:

1. The technical solution provided by the present invention has simple system, convenient implementation, good control effect, and remarkable energy-saving effect; the microclimate data is collected through the meteorological subsystem, and compared with the indoor parameters collected by the data collection subsystem, the control subsystem passes The various comfort parameters of the environment are analyzed, and the adjustment subsystem adjusts indoor temperature, humidity, ventilation and other parameters to provide the most comfortable environment for indoor residents; and it can achieve constant control and adjustment, which not only ensures comfort, but also avoids Eliminate unnecessary energy consumption; and each household and each room are adjusted separately, the space is small, and the adjustment efficiency is high.

2. In the technical solution provided by the present invention, according to the user's choice, the temperature control module of the control subsystem can perform three modes of traditional control, intelligent control and evaluation control, and can combine indoor and outdoor temperatures with user parameters and user habits Various adjustments can be made to the most comfortable and healthy temperature for the user; and the three modes are independent of each other and can be switched flexibly.

3. In the technical solution provided by the present invention, the control subsystem can make reasonable adjustments to the humidity according to the objective value of the humidity and the user's subjective evaluation of the humidity. This adjustment not only considers the objective impact of humidity on human health and comfort, but also takes into account the People's subjective feeling; so that users can not only get a comfortable humidity environment, but also get a sense of satisfaction in psychological regulation, the degree of personalization is greatly improved, and the maximum degree of comfort is provided for users.

Description of drawings

The present invention will be further described below in conjunction with accompanying drawing:

Figure 1: Schematic diagram of the control system provided by the present invention.

Detailed ways

The technical solutions in the embodiments of the present application are clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

Example 1

The present invention provides an intelligent dynamic control system for indoor environment, said system comprising:

A control subsystem, a data acquisition subsystem, a meteorological subsystem, an adjustment subsystem and a human-computer interaction interface respectively communicated with the control subsystem.

The control subsystem includes: an automatic setting module, a temperature control module, a humidity control module, a storage module, a human-computer interaction module, and a parameter output module;

The human-computer interaction module is respectively connected with the automatic setting module, the temperature control module and the humidity control module;

The storage interaction module is respectively connected with the automatic setting module, the temperature control module and the humidity control module;

The parameter output module is respectively connected with the automatic setting module, the temperature control module and the humidity control module.

The temperature control module includes a traditional control unit, an intelligent control unit and an evaluation control unit;

The parameter output module includes a temperature output unit, a humidity output unit and a fresh air output unit;

The automatic setting module, the traditional control unit, the intelligent control unit and the evaluation control unit are respectively connected to the temperature output unit;

The automatic setting module and the humidity control module are respectively connected to the humidity output unit.

The data acquisition subsystem includes a temperature sensor, a humidity sensor, a PM2.5 sensor and a CO ₂ sensor.

The temperature sensor is respectively connected with the automatic setting module and the temperature regulation module.

The humidity sensor is connected to the humidity control module.

The PM2.5 sensor and the CO ₂ sensor are respectively connected to the fresh air output unit.

The regulating subsystem includes temperature regulating equipment, humidity regulating equipment, and fresh air equipment;

The temperature adjustment device is connected to the temperature output unit;

The humidity adjustment device is connected to the humidity adjustment unit;

The fresh air device is connected to the fresh air output unit.

The temperature adjustment equipment, the humidity adjustment equipment, and the fresh air equipment are respectively provided with adjustment units with a number greater than one in the shared room.

The meteorological subsystem includes:

Temperature sensor, humidity sensor, PM2.5 sensor, solar radiation sensor, wind speed sensor, wind pressure sensor, rainfall sensor;

The temperature sensor is respectively connected with the storage module and the temperature control module;

The humidity sensor is connected to the humidity control module.

Example 2

Based on the same inventive concept, the present invention also provides a control method for the above-mentioned indoor environment intelligent dynamic control system, the method includes the following steps:

(1) sending an operation instruction to the control subsystem through the human-computer interaction interface;

(2) The control subsystem determines control parameters according to the operation instructions;

(3) The control subsystem sends the control parameters to the regulation subsystem.

The operating instructions in the step (1) include:

Automatic setting command, temperature control command and humidity control command;

The temperature regulation instruction includes an intelligent regulation instruction and an evaluation regulation instruction.

Described step (2) comprises:

When the operation command is a traditional control command, the traditional control unit uses the temperature value input by the man-machine interface as the temperature control value and sends it to the temperature output unit and the storage module respectively;

When the operation instruction is an intelligent control instruction, the intelligent control unit determines the temperature control value according to the parameters input by the man-machine interface and sends it to the temperature output unit and the storage module respectively;

When the operation instruction is an evaluation control instruction, the evaluation control unit determines the temperature control value according to the evaluation value input by the man-machine interface and sends it to the temperature output unit and the storage module respectively;

When the operation instruction is an automatic setting instruction, the automatic setting module determines the temperature control value according to the automatic setting instruction and sends it to the temperature output unit and the storage module respectively; or

When the operation command is a humidity control command, the humidity control module determines a humidity control parameter according to the humidity evaluation level input by the man-machine interface and sends it to the humidity output unit.

Preferably, when the operation instruction is an intelligent regulation instruction, determining the temperature control value by the intelligent regulation unit according to the parameters input by the human-computer interaction interface includes:

The intelligent control unit calculates the air temperature t _a around the human body according to the following average thermal sensation index PMV formula:

PMV＝(0.303e ^-0.036M +0.0275)×{MW-3.05[5.733-0.007(MW)-P _a ]

-0.42(MW-58.15)-1.73×10 ^-2 M(5.867-P _a )-f _cl h _c (t _cl -t _a )

-0.0014M(34-t _a )-3.96×10 ^-8 f _cl [t _cl +273) ⁴ -(t _r +273) ⁴ ]}

In the formula: In the formula, M is the metabolic rate of the human body, W/m ² ; W is the mechanical work done by the human body, W/m ² ; h _c is the convective heat transfer coefficient, W/m ² ·℃; P _a is the human body Partial pressure of water vapor in the surrounding air, P _a ; f _cl is the clothing area coefficient; t _r is the average indoor radiation temperature, ℃; t _cl is the outer surface temperature of the clothing, ℃;

Using the air temperature t _a around the human body as the temperature control value T _set(n) of the day;

The parameters input by the intelligent control unit according to the human-computer interaction interface include: the age of the user and the type of clothing;

The types of clothing include: down jackets, cotton clothes, windbreakers, sports and leisure jackets, suit jackets, sweaters, woolen vests, autumn clothes, sweaters, long-sleeved shirts, T-shirts, jeans, trousers, wool pants, fleece pants, autumn Pants, line pants, shorts, skirts, dresses, socks, stockings, leather shoes, sneakers, sandals;

The clothing thermal resistance of the entire clothing is obtained by adding the thermal resistance of each clothing; the thermal resistance of various clothing includes:

Down jacket 0.55, cotton clothing 0.5, windbreaker 0.4, sports and leisure jacket 0.3, suit jacket jacket 0.25, sweater 0.28, woolen vest 0.12, autumn clothes/line clothes 0.2, long-sleeved shirt/T-shirt 0.2, short-sleeved shirt/T-shirt 0.09, jeans / trousers 0.2, wool trousers 0.28, fleece trousers 0.25, long johns/line trousers 0.2, shorts 0.06, skirts 0.14, dresses 0.2, socks 0.02, stockings 0.05, leather shoes/sports shoes 0.1, sandals 0.02.

Described human body metabolic rate M is calculated as follows:

M=(M'-0.8)+[72.91-2.03A+0.0437A ² -0.00031A ³ ]/58.2;

In the formula: M' is the metabolic rate of the human body under different types of activities, and A is the age in the parameters.

The values of the PMV include:

Calculate the maximum and minimum values of the average outdoor sliding temperature in the city where the city is located, and establish a corresponding relationship between the temperature range from the minimum value to the maximum value and the PMV value range [-1, 1]:

When the outdoor temperature reaches the maximum value, PMV takes 1;

When the outdoor temperature reaches the minimum value, PMV takes -1;

When the outdoor temperature is between the maximum value and the minimum value, the PMV takes a value in the PMV range [-1, 1] corresponding to the temperature.

The evaluation control unit determining the temperature control value according to the evaluation value input by the man-machine interface includes:

(1) Obtain its internal storage (a', T', TSV') from the storage module, and obtain the indoor temperature from the acquisition subsystem;

(2) Determine the temperature control value based on the evaluation value, the (a', T', TSV') and the indoor temperature.

When the evaluation control unit is first regulated, the step (2) includes:

First, the (a ₁ , T ₁ , TSV ₁ ) signal is sent to the storage module, and the storage module sends (a ₁ , T ₁ , TSV ₁ ) in the form of (a', T', TSV') storage;

In the formula: T ₁ is the indoor temperature when the first adjustment is made; TSV ₁ is the evaluation value of the first adjustment, and its value ranges from 2 to -2, and the corresponding evaluation value ranges from 0 to 2 when the human body feels hot; when the human body feels cold The corresponding evaluation value ranges from -2 to 0; a ₁ is the Griffith coefficient, a ₁ =0.33;

Second, calculate the temperature control value T _set1 according to the following formula:

T _set1 =T ₁ -TSV ₁ /a ₁ .

When the evaluation regulation unit is not the first regulation, the step (2) includes:

Calculate the judgment parameter B according to the following formula:

In the formula: TSV' is the evaluation value stored in the storage module, T' is the indoor temperature stored in the storage module, TSV _(n) is the evaluation value of the nth regulation, T _(n) is the temperature of the nth regulation Indoor temperature; n≥2;

If B∈[0.2,0.5], then calculate the temperature control value T _set(n) as follows:

First, modify the Griffith coefficient, indoor temperature and evaluation value according to the following formula:

a _n = [0.2(TSV _(n) -TSV')/(T _(n) -T')+0.8a'];

T _(n) '=(T'+T _(n) )/2;

TSV _(n) '=[TSV'+TSV _(n) ]/2;

In the formula: a _n is the Griffith coefficient after correction, T _(n) ' is the room temperature during the nth regulation after correction, and TSV _(n) ' is the evaluation value during the nth regulation after correction;

Second, send (a _n , T _(n) ', TSV _(n) ') to the storage module, and the storage module uses the value of (a _n , T _(n) ', TSV _(n) ') update(a', T', TSV'), and store it;

Third, calculate the temperature control value T _set(n) of the nth regulation according to the following formula:

T _{set (n)} = T _(n) '-TSV _(n) '/a _n ;

like The temperature control value T _set(n) of the nth regulation is obtained according to the following formula:

T _{set (n)} = T _(n) - TSV _(n) /a'.

When the operation instruction is an automatic setting instruction, the automatic setting module determines the temperature control value according to the automatic setting instruction including:

The automatic setting module acquires the outdoor average temperature T _omn of the day, the average outdoor temperature T _om(n-1) of the previous day, and the average indoor temperature of the same time period of the previous day from the storage module T _im(n-1) ;

The automatic setting unit calculates the temperature control value T _set(n) according to the following formula:

T _set(n) =T _im(n-1) +0.3[T _om(n) -T _om(n-1) ].

The determination of the indoor sliding average temperature includes:

Divide 24 hours per day into several time periods according to the preset number, the number is greater than 1, and the number in this embodiment is 5;

The indoor sliding average temperature in each time period in the first day of installing the intelligent dynamic control system is replaced by the actual indoor average temperature in the corresponding time period respectively;

The average temperature of indoor sliding in each time period of other days is calculated according to the following formula:

T _im(n) = 0.2T _set(n) +0.8T _im(n-1) ;

In the formula: T _{set (n)} is the last set temperature control value in this period; T _{im (n-1)} is the indoor sliding average temperature in the same period of the (n-1) day;

The storage module calculates the indoor sliding average temperature in the time period at the end of each time period and stores the calculation result.

The determination of the outdoor sliding average temperature includes:

The outdoor sliding temperature T _om(1) of the first day of installing the intelligent dynamic control system is replaced by the outdoor average temperature calculated by the weather forecast data of the day;

The other daily outdoor sliding temperature T _om(n) is calculated according to the following formula:

T _om(n) = 0.8T _out(n) +0.2T _om(n-1) ;

In the formula: T _{out (n)} is the average outdoor temperature of the day calculated according to the weather forecast data of the nth day;

The storage module calculates the outdoor sliding average temperature of the day at 00:00 every day and stores the calculation result. When the operation instruction is a humidity control instruction, the humidity control module determines the humidity control parameters according to the humidity evaluation level input by the human-computer interaction interface, including:

Acquiring the indoor humidity value from the humidity sensor of the collection subsystem, and obtaining the temperature control value from the temperature control module;

calculating a humidity threshold according to the temperature control value;

A humidity control parameter is determined according to the relationship between the humidity value and the humidity threshold and the humidity evaluation level.

The evaluation scale includes: very dry, dry, comfortable, wet, very wet.

The humidity control module determines the humidity control parameters according to the relationship between the humidity value and the humidity threshold and the humidity evaluation level, including:

If the humidity value is lower than the lower humidity threshold, and there is no evaluation information or the evaluation information is very dry, dry, comfortable, damp, or very humid, then the control instruction is to humidify with rated power to above the lower humidity threshold;

If the humidity value is higher than the humidity upper threshold, and there is no evaluation information or the evaluation information is very dry, dry, comfortable, humid, or very humid, then the control instruction is to dehumidify the rated power to below the humidity upper threshold;

The humidity value is between the humidity lower threshold and the humidity upper threshold, and there is no humidity evaluation information, then the control instruction is no action;

The humidity value is between the humidity lower threshold and the humidity upper threshold, and the humidity evaluation information is dry, then 50% power humidification;

The humidity value is between the humidity lower threshold and the humidity upper threshold, and the humidity evaluation information is very dry, then the rated power is used for humidification;

The humidity value is between the lower humidity threshold and the upper humidity threshold, and the humidity evaluation information is wet, then 50% power dehumidification;

If the humidity value is between the lower humidity threshold and the upper humidity threshold, and the humidity evaluation information is very humid, the rated power is humid.

The humidity upper threshold is 70% of the saturated vapor pressure corresponding to the temperature control value.

The humidity lower limit threshold is 40% of the saturated vapor pressure corresponding to the temperature control value.

The saturated vapor pressure P _ws corresponding to the temperature set point T _set is calculated according to the following formula:

Finally, it should be noted that the described embodiments are only some of the embodiments of the present application, rather than all of them. Based on the embodiments of the present application, those skilled in the art have obtained the results without creative work. All other embodiments belong to the protection scope of this application.

Claims (28)

1. A kind of indoor environment intelligent dynamic control system, is characterized in that, described system comprises: A control subsystem, a data acquisition subsystem, a meteorological subsystem, an adjustment subsystem and a human-computer interaction interface respectively communicated with the control subsystem. 2. A kind of indoor environment intelligent dynamic control system according to claim 1, characterized in that, the control subsystem comprises: an automatic setting module, a temperature control module, a humidity control module, a storage module, and a human-computer interaction module , parameter output module; The human-computer interaction module is respectively connected with the automatic setting module, the temperature control module and the humidity control module; The storage interaction module is respectively connected with the automatic setting module, the temperature control module and the humidity control module; The parameter output module is respectively connected with the automatic setting module, the temperature control module and the humidity control module. 3. A kind of indoor environment intelligent dynamic control system according to claim 2, is characterized in that, The temperature control module includes a traditional control unit, an intelligent control unit and an evaluation control unit; The parameter output module includes a temperature output unit, a humidity output unit and a fresh air output unit; The automatic setting module, the traditional control unit, the intelligent control unit and the evaluation control unit are respectively connected to the temperature output unit; The automatic setting module and the humidity control module are respectively connected to the humidity output unit. 4. A kind of indoor environment intelligent dynamic control system according to claim 3, is characterized in that, described data acquisition subsystem comprises temperature sensor, humidity sensor, PM2.5 sensor and CO ₂ sensor. 5 . The intelligent dynamic control system for indoor environment according to claim 4 , wherein the temperature sensor is connected to the automatic setting module and the temperature regulation module respectively. 6 . 6 . The intelligent dynamic control system for indoor environment according to claim 4 , wherein the humidity sensor is connected to the humidity control module. 7. The intelligent dynamic control system for indoor environment according to claim 4, characterized in that, the PM2.5 sensor and the _CO2 sensor are respectively connected to the fresh air output unit. 8. A kind of indoor environment intelligent dynamic control system according to claim 3, characterized in that, the regulation subsystem includes temperature regulation equipment, humidity regulation equipment, and fresh air equipment; The temperature adjustment device is connected to the temperature output unit; The humidity adjustment device is connected to the humidity adjustment unit; The fresh air device is connected to the fresh air output unit. 9. A kind of indoor environment intelligent dynamic control system according to claim 8, characterized in that, the temperature adjustment equipment, the humidity adjustment equipment, and the fresh air equipment are respectively equipped with adjustment units with a number greater than one in the shared room. unit. 10. A kind of indoor environment intelligent dynamic control system according to claim 2, is characterized in that, described meteorological subsystem comprises: Temperature sensor, humidity sensor, PM2.5 sensor, solar radiation sensor, wind speed sensor, wind pressure sensor, rainfall sensor; The temperature sensor is respectively connected with the storage module and the temperature control module; The humidity sensor is connected to the humidity control module. 11. A control method of the indoor environment intelligent dynamic control system according to any one of claims 1 to 10, characterized in that the method comprises the following steps: (1) sending an operation instruction to the control subsystem through the human-computer interaction interface; (2) The control subsystem determines control parameters according to the operation instructions; (3) The control subsystem sends the control parameters to the regulation subsystem. 12. The control method according to claim 11, characterized in that the operation instructions in the step (1) include: Automatic setting command, temperature control command and humidity control command; The temperature regulation instructions include traditional regulation instructions, intelligent regulation instructions and evaluation regulation instructions. 13. control method according to claim 11, is characterized in that, described step (2) comprises: When the operation command is a traditional control command, the traditional control unit uses the temperature value input by the man-machine interface as the temperature control value and sends it to the temperature output unit and the storage module respectively; When the operation command is an intelligent control command, the intelligent control unit determines the temperature control value according to the parameters input by the man-machine interface and sends it to the temperature output unit and the storage module respectively; When the operation instruction is an evaluation control instruction, the evaluation control unit determines the temperature control value according to the evaluation value input by the man-machine interface and sends it to the temperature output unit and the storage module respectively; When the operation instruction is an automatic setting instruction, the automatic setting module determines the temperature control value according to the automatic setting instruction and sends it to the temperature output unit and the storage module respectively; or When the operation command is a humidity control command, the humidity control module determines a humidity control parameter according to the humidity evaluation level input by the man-machine interface and sends it to the humidity output unit. 14. The control method according to claim 13, characterized in that, when the operation instruction is an intelligent regulation instruction, the intelligent regulation unit determines the temperature control value according to the parameters input by the human-computer interaction interface comprising: The intelligent control unit calculates the air temperature t _a around the human body according to the following average thermal sensation index PMV formula: PMV＝(0.303e ^-0.036M +0.0275)×{MW-3.05[5.733-0.007(MW)-P _a ] -0.42(MW-58.15)-1.73×10 ^-2 M(5.867-P _a )-f _cl h _c (t _cl -t _a ) -0.0014M(34-t _a )-3.96×10 ^-8 f _cl [t _cl +273) ⁴ -(t _r +273) ⁴ ]} In the formula: In the formula, M is the metabolic rate of the human body, W/m ² ; W is the mechanical work done by the human body, W/m ² ; h _c is the convective heat transfer coefficient, W/m ² ·℃; P _a is the human body Partial pressure of water vapor in the surrounding air, P _a ; f _cl is the clothing area coefficient; t _r is the average indoor radiation temperature, ℃; t _cl is the outer surface temperature of the clothing, ℃; The air temperature t _a around the human body is taken as the temperature control value T _set(n) of the day. 15. control method according to claim 14, is characterized in that, described human body metabolic rate M is calculated as follows: M=(M'-0.8)+[72.91-2.03A+0.0437A ² -0.00031A ³ ]/58.2; In the formula: M' is the metabolic rate of the human body under different types of activities, and A is the age in the parameters. 16. The control method according to claim 14, wherein the value of the PMV comprises: Determine the value of PMV according to the corresponding relationship between the temperature interval composed of the maximum statistical value and the minimum statistical value of the outdoor sliding average temperature of the city and the PMV value interval [-1, 1]: When the outdoor temperature reaches the maximum value, PMV takes 1; When the outdoor temperature reaches the minimum value, PMV takes -1; When the outdoor temperature is between the maximum value and the minimum value, the PMV takes a value in the PMV range [-1, 1] corresponding to the temperature. 17. The control method according to claim 13, wherein the evaluation control unit determining the temperature control value according to the evaluation value input by the man-machine interface comprises: (1) acquire (a', T', TSV') from the storage module, and acquire the indoor temperature from the acquisition subsystem; (2) Determine the temperature control value based on the evaluation value, the (a', T', TSV') and the indoor temperature. 18. The control method according to claim 17, characterized in that, when the evaluation and regulation unit is regulating for the first time, the step (2) comprises: First, the (a ₁ , T ₁ , TSV ₁ ) signal is sent to the storage module, and the storage module sends (a ₁ , T ₁ , TSV ₁ ) in the form of (a', T', TSV') storage; In the formula: T ₁ is the indoor temperature when the first adjustment is made; TSV ₁ is the evaluation value of the first adjustment, and its value ranges from 2 to -2, and the corresponding evaluation value ranges from 0 to 2 when the human body feels hot; when the human body feels cold The corresponding evaluation value ranges from -2 to 0; a ₁ is the Griffith coefficient, a ₁ =0.33; Second, calculate the temperature control value T _set1 according to the following formula: T _set1 =T ₁ -TSV ₁ /a ₁ . 19. The control method according to claim 18, characterized in that, when the evaluation regulation unit is not regulating for the first time, the step (2) comprises: Calculate the judgment parameter B according to the following formula: In the formula: TSV' is the evaluation value stored in the storage module, T' is the indoor temperature stored in the storage module, TSV _(n) is the evaluation value of the nth regulation, T _(n) is the temperature of the nth regulation Indoor temperature; n≥2; If B∈[0.2,0.5], then calculate the temperature control value T _set(n) as follows: First, modify the Griffith coefficient, indoor temperature and evaluation value according to the following formula: a _n = [0.2(TSV _(n) -TSV')/(T _(n) -T')+0.8a']; T _(n) '=(T'+T _(n) )/2; TSV _(n) '=[TSV'+TSV _(n) ]/2; In the formula: a _n is the Griffith coefficient after correction, T _(n) ' is the room temperature during the nth regulation after correction, and TSV _(n) ' is the evaluation value during the nth regulation after correction; Second, send (a _n , T _(n) ', TSV _(n) ') to the storage module, and the storage module uses the value of (a _n , T _(n) ', TSV _(n) ') update(a', T', TSV'), and store it; Third, calculate the temperature control value T _set(n) of the nth regulation according to the following formula: T _{set (n)} = T _(n) '-TSV _(n) '/a _n ; like The temperature control value T _set(n) of the nth regulation is obtained according to the following formula: T _{set (n)} = T _(n) - TSV _(n) /a'. 20. The control method according to claim 13, wherein when the operation instruction is an automatic setting instruction, the automatic setting module determining the temperature control value according to the automatic setting instruction includes: The automatic setting module acquires the outdoor average temperature T _omn of the day, the average outdoor temperature T _om(n-1) of the previous day, and the average indoor temperature of the same time period of the previous day from the storage module T _im(n-1) ; The automatic setting unit calculates the temperature control value T _set(n) according to the following formula: T _set(n) =T _im(n-1) +0.3[T _om(n) -T _om(n-1) ]. 21. The control method according to claim 20, wherein the determination of the indoor sliding average temperature comprises: Divide the 24 hours of each day into several time periods according to the preset number; The indoor sliding average temperature in each time period in the first day of installing the intelligent dynamic control system is replaced by the actual indoor average temperature in the corresponding time period respectively; The average temperature of indoor sliding in each time period of other days is calculated according to the following formula: T _im(n) = 0.2T _set(n) +0.8T _im(n-1) ; In the formula: T _{set (n)} is the last set temperature control value in this period; T _{im (n-1)} is the indoor sliding average temperature in the same period of the (n-1) day; The storage module calculates the indoor sliding average temperature in the time period at the end of each time period and stores the calculation result. 22. The control method according to claim 16 or 20, wherein the determination of the outdoor average sliding temperature comprises: The outdoor sliding temperature T _om(1) of the first day of installing the intelligent dynamic control system is replaced by the outdoor average temperature calculated by the weather forecast data of the day; The other daily outdoor sliding temperature T _om(n) is calculated according to the following formula: T _om(n) = 0.8T _out(n) +0.2T _om(n-1) ; In the formula: T _{out (n)} is the average outdoor temperature of the day calculated according to the weather forecast data of the nth day; The storage module calculates the outdoor sliding average temperature of the day at 00:00 every day and stores the calculation result. 23. The control method according to claim 13, wherein when the operation command is a humidity control command, the humidity control module determines the humidity control parameters according to the humidity evaluation level input by the man-machine interface, including: Acquiring the indoor humidity value from the humidity sensor of the collection subsystem, and obtaining the temperature control value from the temperature control module; calculating a humidity threshold according to the temperature control value; A humidity control parameter is determined according to the relationship between the humidity value and the humidity threshold and the humidity evaluation level. 24. The control method according to claim 23, wherein the evaluation grades include: very dry, dry, comfortable, wet, and very wet. 25. The control method according to claim 24, wherein the humidity control module determines the humidity control parameters according to the relationship between the humidity value and the humidity threshold and the humidity evaluation level comprises: If the humidity value is lower than the lower humidity threshold, and there is no evaluation information or the evaluation information is very dry, dry, comfortable, damp, or very humid, then the control instruction is to humidify with rated power to above the lower humidity threshold; If the humidity value is higher than the humidity upper threshold, and there is no evaluation information or the evaluation information is very dry, dry, comfortable, humid, or very humid, then the control instruction is to dehumidify the rated power to below the humidity upper threshold; The humidity value is between the humidity lower threshold and the humidity upper threshold, and there is no humidity evaluation information, then the control instruction is no action; The humidity value is between the humidity lower threshold and the humidity upper threshold, and the humidity evaluation information is dry, then 50% power humidification; The humidity value is between the humidity lower threshold and the humidity upper threshold, and the humidity evaluation information is very dry, then the rated power is used for humidification; The humidity value is between the lower humidity threshold and the upper humidity threshold, and the humidity evaluation information is wet, then 50% power dehumidification; If the humidity value is between the lower humidity threshold and the upper humidity threshold, and the humidity evaluation information is very humid, the rated power is humid. 26. The control method according to claim 25, wherein the humidity upper threshold is 70% of the saturated vapor pressure corresponding to the temperature control value. 27. The control method according to claim 25, wherein the humidity lower limit threshold is 40% of the saturated vapor pressure corresponding to the temperature control value. 28. The control method according to claim 26 or 27, characterized in that the saturated vapor pressure _Pws corresponding to the temperature set point T _set is calculated according to the following formula: