1. The utility model provides an intelligence coordinated control device that windows suitable for passive form building which characterized in that includes:

the monitoring module comprises a window sensor monitoring submodule and an indoor sensor monitoring submodule, wherein the window sensor monitoring submodule is arranged on an inner side wall close to the top of a window frame and is used for monitoring the temperature, the humidity and the wind speed of air entering a room from a window and the opening and closing distance of the window; the indoor sensor monitoring submodule is arranged at a certain distance from the ground indoors and is used for monitoring the temperature, humidity and wind speed of indoor air; the control module is arranged on the inner side wall above the window and comprises a shell, and a central controller, a memory and an internal power supply which are arranged in the shell, wherein the central controller is respectively in communication connection with the memory, the window sensor monitoring submodule and the indoor sensor monitoring submodule, and the internal power supply supplies power to the memory and the central controller;

and the driving module is fixedly connected with the window frame and is in communication connection with the central controller through a cable, and the central controller controls the driving module to drive the window frame to open and close.

2. The intelligent windowing linkage control device suitable for passive buildings according to claim 1, wherein the window sensor monitoring submodule comprises a first humidity sensor, a first temperature sensor, a first wind speed sensor and a distance measuring sensor; the indoor sensor monitoring submodule comprises a second humidity sensor, a second temperature sensor and a second wind speed sensor.

3. The intelligent windowing linkage control device suitable for the passive building according to claim 2, wherein the first humidity sensor, the first temperature sensor, the first wind speed sensor, the second humidity sensor, the second temperature sensor and the second wind speed sensor are all galvanic probes; the distance measuring sensor is a laser distance measuring sensor.

4. The intelligent windowing linkage control device suitable for the passive building according to claim 2, wherein the first humidity sensor, the first temperature sensor, the first wind speed sensor and the distance measuring sensor are wired transmission sensors; and the second humidity sensor, the second temperature sensor and the second wind speed sensor are all wireless transmission sensors.

5. The intelligent window-opening linkage control device suitable for the passive building as claimed in claim 1, wherein the driving module comprises a motor, a rack and a gear, the motor is installed on the inner side wall close to the bottom of the window frame, the rack is fixedly connected with the bottom of the window frame through a bolt, the gear is fixedly sleeved on an output shaft of the motor, and the gear is meshed with the rack.

6. The control method of the intelligent window-opening linkage control device suitable for the passive building based on any one of claims 1 to 5 is characterized by comprising the following steps:

step 1, monitoring the mean value of the temperature, humidity and wind speed of air entering a room in a certain time period through a window sensor monitoring submodule;

step 2, uploading the monitoring data in the step 1 to a central controller, preliminarily judging whether the monitoring data is in a window opening threshold range, if so, turning to the step 4, and if not, turning to the step 3;

step 3, the central controller sends a window closing signal to the driving module and starts a fresh air system in a linkage manner;

step 4, combining the monitoring data to obtain the minimum opening of the initial window;

step 5, monitoring the mean value of the temperature, humidity and wind speed of the indoor air in the time period through an indoor sensor monitoring submodule, uploading the monitored indoor air index to a central controller for data processing, obtaining a comfort index PMV in the time period, judging whether the comfort index PMV is in a comfort range, if so, turning to step 6, and if not, turning to step 7;

step 6, the central controller sends a signal for keeping the opening of the window unchanged to the driving module so as to keep the area of the window unchanged;

step 7, the central controller performs reverse thrust to obtain the temperature to be controlled and the required ventilation quantity;

step 8, judging whether the required ventilation volume is in the ventilation volume range provided by the window, if so, turning to the step 9, and if not, turning to the step 3;

and 9, reversely deducing by the central controller according to the required ventilation quantity to obtain the required window opening, and further sending a signal for adjusting the window opening to the driving module so as to adjust the window opening area.

7. The method as claimed in claim 6, wherein the step 4 of obtaining the initial window by combining the monitoring dataThe minimum opening degree includes: firstly, the minimum ventilation quantity Q of the room is determined by combining the minimum ventilation times n of different types of buildings and the room volume V_minThe calculation formula is as follows:

Q_min＝n·V

then, taking a horizontal sliding window as an example, combining the wind speed in the monitoring dataAnd window height H, from the formulaObtaining the minimum opening L of the initial window_min。

8. The control method of the intelligent window-opening linkage control device applicable to the passive building according to claim 7, wherein the comfort index PMV of the step 5 is an index for evaluating an indoor thermal environment, and the expression is as follows:

PMV＝f(t_air，RH，v，t_r，M，I_cl)

wherein the air temperature t_airThe values of the relative humidity RH and the air flow velocity v are the average values of the temperatures measured by the temperature sensor IIHumidity mean value measured by humidity sensor IIMean value of wind speed measured by wind speed sensorAverage radiation temperature t for residential and public buildings without large radiation surface_rGetHuman body metabolic rate M and clothing thermal resistance I_clGiven by the user's own settings。

9. The method for controlling the intelligent window-opening linkage control device applicable to the passive building as claimed in claim 8, wherein the step 7 of back-deriving the temperature to be controlled and the required ventilation amount by the central controller comprises:

firstly, the central controller takes the humidity mean value and the temperature mean value of the indoor air in the time period as quantification, and the temperature T to be controlled is obtained by reversely deducing the PMV comfort range_kThe expression is as follows:

T_K＝f^-1(PMV，RH，v，t_r，M，I_cl)

then, the required ventilation Q is obtained by any one of the following equations_k：

Or Q_k＝G/(h_R-h_S)

Wherein Q is_kThe ventilation volume of a room, c is the specific heat of air, G is the cold and hot load of the room or the load parameter range set by a user, t_airIs the temperature of the air in the room,to the temperature of the air entering the room, h_RIs the specific enthalpy of indoor air, h_SSpecific enthalpy of outdoor air; the calculation formula of the room cold and heat load G is as follows:

G＝f(α，F，K，t_n，t_wn)＝f(α，F，K，T_k，t_wn)

wherein G is the cold and hot load of the room, alpha is the comprehensive correction coefficient of the door and window enclosure structure, F is the comprehensive area of the door and window enclosure structure, K is the comprehensive heat transfer coefficient of the door and window enclosure structure, and t is_nFor the design of the temperature in the room, the value here is the temperature T to be controlled, obtained by back-stepping_k，t_wnThe temperature is designed for outdoor use.

10. The method for controlling the intelligent window opening linkage control device suitable for the passive building according to claim 9, wherein the step 9 of reversely deducing the required window opening degree by the central controller according to the required ventilation volume, and then sending a signal for adjusting the window opening degree to the driving module, so as to adjust the window opening area comprises the following steps:

if the required ventilation Q_kSatisfy Q_min＜Q_k＜Q_maxThe central controller is composed of Q_kReversely deducing to obtain the required window opening L_kAnd then sends out the adjustment to the window opening L to the driving module_kFurther adjusting the windowing area A;

indoor temperature and humidity, wind speed parameters and historical windowing area data of the memory are used as input, a neural network machine learning method is adopted to learn the corresponding PMV output rule, and the learning result is used for further feeding back and correcting the window opening and closing distance calculation result in the control module.

Background

In recent years, with the continuous increase of energy demand and the increasing of environmental problems, energy conservation, consumption reduction and sustainable development of buildings have become important issues of global attention. Based on the construction, the passive ultra-low energy consumption and near-zero energy consumption building with high heat preservation and high air tightness is rapidly developed. Due to the high air tightness of the building characteristic and the strict requirements of energy conservation and emission reduction, the indoor thermal environment needs to be adjusted and controlled by fully utilizing natural ventilation, and the linkage control of a window, a fresh air system and the like is ensured. However, the window opening of the existing passive building is difficult to realize intelligent control, and meanwhile, the window opening is not linked with the intelligent linkage of a fresh air system, so that a new technical method is urgently needed for supporting.

The currently used techniques suffer from two drawbacks:

1. at present, the window still depends on manual adjustment for opening and closing and window opening area, or automatic control is carried out based on single conditions (indoor and outdoor temperature difference or enthalpy difference), which can lead to the problems of untimely adjustment, frequent opening and closing of equipment and the like.

2. For passive buildings, their high air tightness dictates that an effective air displacement must be performed. However, the regulation and control of the existing window are independent and often insufficient in linkage with a fresh air system, and the indoor thermal environment regulation and the improvement of air quality are greatly influenced.

Disclosure of Invention

Aiming at the defects in the prior art, the invention provides an intelligent windowing linkage control device and a control method suitable for a passive building, on one hand, the opening of a window is finely controlled according to the comfort requirement of an indoor thermal environment, and on the other hand, the intelligent linkage of the window and a fresh air system is realized to ensure the comfort of the indoor environment.

In order to achieve the purpose, the invention adopts the following technical scheme:

the invention provides an intelligent windowing linkage control device suitable for passive buildings, which comprises:

the monitoring module comprises a window sensor monitoring submodule and an indoor sensor monitoring submodule, wherein the window sensor monitoring submodule is arranged on an inner side wall close to the top of a window frame and is used for monitoring the temperature, the humidity and the wind speed of air entering a room from a window and the opening and closing distance of the window; the indoor sensor monitoring submodule is arranged at a certain distance from the ground indoors and is used for monitoring the temperature, humidity and wind speed of indoor air;

the control module is arranged on the inner side wall above the window and comprises a shell, and a central controller, a memory and an internal power supply which are arranged in the shell, wherein the central controller is respectively in communication connection with the memory, the window sensor monitoring submodule and the indoor sensor monitoring submodule, and the internal power supply supplies power to the memory and the central controller;

and the driving module is fixedly connected with the window frame and is in communication connection with the central controller through a cable, and the central controller controls the driving module to drive the window frame to open and close.

Further, the window sensor monitoring submodule comprises a first humidity sensor, a first temperature sensor, a first wind speed sensor and a distance measuring sensor; the indoor sensor monitoring submodule comprises a second humidity sensor, a second temperature sensor and a second wind speed sensor.

Furthermore, the first humidity sensor, the first temperature sensor, the first wind speed sensor, the second humidity sensor, the second temperature sensor and the second wind speed sensor are all galvanic couple probes; the distance measuring sensor is a laser distance measuring sensor.

Furthermore, the first humidity sensor, the first temperature sensor, the first wind speed sensor and the distance measuring sensor are all wired transmission sensors; and the second humidity sensor, the second temperature sensor and the second wind speed sensor are all wireless transmission sensors.

Further, the driving module comprises a motor, a rack and a gear, the motor is installed on the inner side wall close to the bottom of the window frame, the rack is fixedly connected with the bottom of the window frame through a bolt, the gear is fixedly sleeved on an output shaft of the motor, and the gear is meshed with the rack.

The invention also provides a control method of the intelligent windowing linkage control device suitable for the passive building, which comprises the following steps:

step 1, monitoring the mean value of the temperature, humidity and wind speed of air entering a room in a certain time period through a window sensor monitoring submodule;

step 2, uploading the monitoring data in the step 1 to a central controller, preliminarily judging whether the monitoring data is in a window opening threshold range, if so, turning to the step 4, and if not, turning to the step 3;

step 3, the central controller sends a window closing signal to the driving module and starts a fresh air system in a linkage manner;

step 4, combining the monitoring data to obtain the minimum opening of the initial window;

step 5, monitoring the mean value of the temperature, humidity and wind speed of the indoor air in the time period through an indoor sensor monitoring submodule, uploading the monitored indoor air index to a central controller for data processing, obtaining a comfort index PMV in the time period, judging whether the comfort index PMV is in a comfort range, if so, turning to step 6, and if not, turning to step 7;

step 6, the central controller sends a signal for keeping the opening of the window unchanged to the driving module so as to keep the area of the window unchanged;

step 7, the central controller performs reverse thrust to obtain the temperature to be controlled and the required ventilation quantity;

step 8, judging whether the required ventilation volume is in the ventilation volume range provided by the window, if so, turning to the step 9, and if not, turning to the step 3;

and 9, reversely deducing by the central controller according to the required ventilation quantity to obtain the required window opening, and further sending a signal for adjusting the window opening to the driving module so as to adjust the window opening area.

Further, the step 4 of obtaining the minimum opening degree of the initial window by combining the monitoring data includes:

firstly, the minimum ventilation quantity Q of the room is determined by combining the minimum ventilation times n of different types of buildings and the room volume V_minThe calculation formula is as follows:

Q_min＝n·V

then, taking a horizontal sliding window as an example, combining the wind speed in the monitoring dataAnd window height H, from the formulaObtaining the minimum opening L of the initial window_min。

Further, the comfort index PMV of step 5 is an index for evaluating the indoor thermal environment, and the expression is as follows:

PMV＝f(t_air,RH,v,t_r,M,I_cl)

wherein the air temperature t_airThe values of the relative humidity RH and the air flow velocity v are the average values of the temperatures measured by the temperature sensor IIHumidity mean value measured by humidity sensor IIMean value of wind speed measured by wind speed sensorAverage radiation temperature t for residential and public buildings without large radiation surface_rGetHuman body metabolic rate M and clothing thermal resistance I_clGiven by the user's own settings.

Further, the step 7 of reversely calculating the temperature to be controlled and the required ventilation quantity by the central controller comprises:

firstly, the central controller takes the humidity mean value and the temperature mean value of the indoor air in the time period as quantification, and the temperature T to be controlled is obtained by reversely deducing the PMV comfort range_kThe expression is as follows:

T_K＝f^-1(PMV,RH,v,t_r,M,I_cl)

then, the required ventilation Q is obtained by any one of the following equations_k：

Or Q_k＝G(h_R-h_S)

Wherein Q is_kThe ventilation volume of a room, c is the specific heat of air, G is the cold and hot load of the room or the load parameter range set by a user, t_airIs the temperature of the air in the room,to the temperature of the air entering the room, h_RIs the specific enthalpy of indoor air, h_SSpecific enthalpy of outdoor air; the calculation formula of the room cold and heat load G is as follows:

G＝f(α,F,K,t_n,t_wn)＝f(α,F,K,T_k,t_wn)

wherein G is the cold and hot load of the room, alpha is the comprehensive correction coefficient of the door and window enclosure structure, F is the comprehensive area of the door and window enclosure structure, K is the comprehensive heat transfer coefficient of the door and window enclosure structure, and t is_nFor the design of the temperature in the room, the value here is the temperature T to be controlled, obtained by back-stepping_k，t_wnThe temperature is designed for outdoor use.

Further, step 9 central controller obtains required window aperture according to required air volume back-stepping, and then sends the signal of adjustment window aperture to drive module, and then adjusts the windowing area, includes:

if the required ventilation Q_kSatisfy Q_min<Q_k<Q_maxThe central controller is composed of Q_kReversely deducing to obtain the required window opening L_kAnd then sends out the adjustment to the window opening L to the driving module_kFurther adjusting the windowing area A;

indoor temperature and humidity, wind speed parameters and historical windowing area data of the memory are used as input, a neural network machine learning method is adopted to learn the corresponding PMV output rule, and the learning result is used for further feeding back and correcting the window opening and closing distance calculation result in the control module.

Compared with the prior art, the invention has the following advantages:

1. the method comprises the steps that firstly, a window sensor monitoring submodule is used for collecting outdoor environment parameters, a central controller judges whether window opening is needed or not according to the outdoor environment parameters, and the minimum opening degree of an initial window is calculated under the condition that the window opening is needed; and then, the required window opening degree is calculated according to the requirement of the indoor comfort index PMV, so that the fine automatic control is performed on the window opening degree, the climate self-adaptive indoor thermal environment pre-control and regulation functions can be realized, the comfort and the stability of the indoor thermal environment are ensured, and the defect that the indoor thermal environment is difficult to regulate and control quantitatively by manually windowing is overcome.

2. When monitored outdoor environmental parameters are not within the window opening threshold range or when the window is fully opened and cannot meet the requirement of indoor air comfort, the window is closed and the fresh air system is opened in a linkage manner, the intelligent linkage of the window and the fresh air system is realized by monitoring the operation boundary of the window and the fresh air system, the air conditioning is carried out by utilizing renewable energy to the maximum extent, and the purposes of energy conservation and emission reduction are achieved.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a schematic structural diagram of an intelligent windowing linkage control device suitable for passive buildings according to an embodiment of the invention;

FIG. 2 is a schematic diagram of an intelligent windowing linkage control device suitable for passive buildings according to an embodiment of the invention;

FIG. 3 is a schematic structural diagram of a driving module according to an embodiment of the present invention;

fig. 4 is a schematic flow chart of a control method of the intelligent windowing linkage control device suitable for passive buildings according to the embodiment of the invention.

The reference numbers in the figures denote:

1. the window sensor monitoring submodule 101, a humidity sensor I, 102, a temperature sensor I, 103, a wind speed sensor I, 104, a distance measuring sensor, 2, an indoor sensor monitoring submodule 201, a humidity sensor II, 202, a temperature sensor II, 203, a wind speed sensor II, 3, a control module 301, a central controller 302, a memory 303, an internal power supply, 4, a motor, 5, a rack, 6, a gear and 7, and the window frame.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

As shown in fig. 1 and 2, the intelligent window-opening linkage control device suitable for passive buildings according to the present embodiment includes three parts, namely a monitoring module, a control module 3 and a driving module.

The monitoring module comprises a window sensor monitoring submodule 1 and an indoor sensor monitoring submodule 2, and a data acquisition time interval and an acquisition time length can be set in advance through equipment such as a computer and the like, so that a data mean value in the time length is obtained; the window sensor monitoring submodule 1 is installed on an inner side wall close to the top of the window frame 7, and comprises a first humidity sensor 101, a first temperature sensor 102, a first wind speed sensor 103 and a distance measuring sensor 104, and is used for monitoring the temperature and humidity of air entering the room from a window, a wind speed value and a window switch distance, preferably, the first humidity sensor 101, the first temperature sensor 102, the first wind speed sensor 103 and the distance measuring sensor 104 are all wired transmission sensors, and certainly, wireless transmission sensors can also be adopted; indoor sensor monitoring submodule 2 installs in indoor apart from ground 1.5m department, including two 201, two 202 and two 203 air velocity sensors of humidity transducer for monitor the humiture and the wind speed value of indoor air, it is preferred, two 201, two 202 and two 203 air velocity sensors of humidity transducer all adopt wireless transmission sensor, avoid indoor circuit to lay mixed and disorderly, also can adopt wired transmission sensor certainly.

In the present example, the first humidity sensor 101, the first temperature sensor 102, the first wind speed sensor 103, the second humidity sensor 201, the second temperature sensor 202 and the second wind speed sensor 203 are all galvanic probes; the range sensor 104 is a laser range sensor.

The control module 3 is installed on the inner side wall above the window and comprises a shell, a central controller 301, a memory 302 and an internal power supply 303, wherein the central controller 301, the memory 302 and the internal power supply 303 are arranged inside the shell, the central controller 301 is in communication connection with the memory 302, the window sensor monitoring submodule 1 and the indoor sensor monitoring submodule 2 respectively, the internal power supply 303 supplies power to the memory 302 and the central controller 301, and the internal power supply 303 has an electric shock function, is externally connected with 220V alternating current and converts the alternating current into low-voltage direct current for the control module 3 to use. The window sensor monitoring submodule 1 transmits data information such as temperature and humidity, a wind speed value and a window opening and closing distance in a certain time period to the central controller 301 for data processing, and the indoor sensor monitoring submodule 2 also transmits data information such as temperature and humidity and a wind speed value in a certain time period to the central controller 301 for data processing, and stores monitoring data in the memory 302.

As shown in fig. 3, the driving module includes a motor 4, a rack 5 and a gear 6, the motor 4 is mounted on an inner side wall near the bottom of the window frame 7, the rack 5 is fixedly connected with the bottom of the window frame 7 through a bolt, or can be connected through welding or other forms, the gear 6 is fixedly sleeved on an output shaft of the motor 4, the two are tightly fitted, the gear 6 is engaged with the rack 5, and the motor 4 is in communication connection with the central controller 301 through a cable; the central controller 301 sends a signal for adjusting the window opening degree to the motor 4, the motor 4 of the driving module drives the gear 6 to rotate together, and then the rack 5 and the window frame 7 move linearly together relative to the gear 6, and the window can stop when the window runs for a preset window opening and closing distance.

As shown in fig. 4, the present embodiment further provides a control method based on the intelligent windowing linkage control device suitable for passive buildings, including the following steps:

step S401, monitoring the mean value of the temperature, humidity and wind speed of the air entering the room in a certain time period through the window sensor monitoring submodule 1:

step S402, uploading the monitoring data of the step S401 to the central controller 301, and preliminarily judging whether the monitoring data is in the window opening threshold range; referring to GB/T51350-2019 near zero energy consumption building technical Standard, when the outdoor temperature is less than or equal to 28 ℃ and the relative humidity is less than or equal to 70%, the indoor environment of the building is adjusted under the working condition of natural ventilation, and the indoor environment can be used as a window opening threshold value or a window opening parameter range is set by a user; if the monitoring data is within the window opening threshold range, the process goes to step S404, and if the monitoring data is not within the window opening threshold range, the process goes to step S403.

In step S403, the central controller 301 sends a window closing signal to the driving module and starts the fresh air system in a linked manner.

Step S404, obtaining the minimum opening of the initial window by combining the monitoring data, specifically including:

first, combineDetermining the minimum ventilation Q of the room according to the minimum ventilation times n and the room volume V of different types of buildings in the standard_minThe calculation formula is as follows:

Q_min＝n·V

then, taking a horizontal sliding window as an example, combining the wind speed in the monitoring dataAnd window height H, from the formulaObtaining the minimum opening L of the initial window_min。

Step S405, monitoring the mean value of the temperature, humidity and wind speed of indoor air in the time period through the indoor sensor monitoring submodule 2, uploading the monitored indoor air index to the central controller 301 for data processing to obtain a comfort index PMV in the time period, judging whether the comfort index PMV is in a comfort range, and setting the comfort range of the PMV index to be-1; if the comfort range is within the comfort range, the process goes to step S406, and if the comfort range is not within the comfort range, the process goes to step S407.

The PMV index is the most commonly used index for evaluating the indoor thermal environment at present, and the influence factors of the PMV index are mainly six: air temperature t_airRelative humidity RH, air flow velocity v, average radiation temperature t_rHuman body metabolic rate M and clothing thermal resistance I_clThe values "-3, -2, -1, 0, 1, 2, 3" are respectively corresponding to the thermal sensations of "cold, cool, slightly cool, moderate, slightly warm, hot". The expression of the PMV index is as follows:

PMV＝f(t_air,RH,v,t_r,M,I_cl)

wherein the air temperature t_airThe values of the relative humidity RH and the air flow velocity v are respectively the temperature mean value measured by the second temperature sensor 202Humidity mean value measured by the second humidity sensor 201The mean value of wind speed measured by the second wind speed sensor 203Average radiation temperature t for residential and public buildings without large radiation surface_rThe average temperature value measured by the second temperature sensor 202 can be takenHuman body metabolic rate M and clothing thermal resistance I_clGiven by the user's own settings.

In step S406, the central controller 301 sends a hold window opening L to the drive module_minThe signal is constant to keep the windowed area a constant.

Step S407, the central controller 301 reversely obtains the temperature to be controlled and the required ventilation volume, specifically:

first, the central controller 301 uses the humidity average value and the temperature average value of the indoor air in the time period as the quantification, and obtains the temperature T to be controlled by the inverse estimation of the PMV comfort range_kThe expression is as follows:

T_K＝f^-1(PMV,RH,v,t_r,M,I_cl)

then, a required ventilation amount Q is obtained by any one of the following formulas_k：

Or Q_k＝G(h_R-h_S)

Wherein Q is_kThe ventilation volume of a room, c is the specific heat of air, G is the cold and hot load of the room or the load parameter range set by a user, t_airIs the temperature of the air in the room,to the temperature of the air entering the room, h_RIs the specific enthalpy of indoor air, h_SSpecific enthalpy of outdoor air; computing device for room cold and heat load GThe formula is as follows:

G＝f(α,F,K,t_n,t_wn)＝f(α,F,K,T_k,t_wn)

wherein G is the cold and hot load of the room, alpha is the comprehensive correction coefficient of the enclosures such as doors and windows, F is the comprehensive area of the enclosures such as doors and windows, K is the comprehensive heat transfer coefficient of the enclosures such as doors and windows, and t_nFor the design of the temperature in the room, the value here is the temperature T to be controlled, obtained by back-stepping_k，t_wnThe temperature is designed for outdoor use. With reference to GB50736-2012 design Specification for heating, ventilating and air-conditioning of civil buildings, except for T for a specific building_kOther parameters are constant values, whereby the cold-heat load G is converted into T_kFurther obtains the required ventilation quantity Q_k。

Step S408, judging the required ventilation quantity Q_kIf the ventilation quantity is within the range of the ventilation quantity provided by the window, turning to the step S409 if the ventilation quantity is within the range of the ventilation quantity provided by the window, and turning to the step S403 if the ventilation quantity is not within the range of the ventilation quantity provided by the window, indicating that the purpose of adjusting the indoor environment cannot be met by the window when the window is fully opened or not opened, closing the window and opening a fresh air system for ventilation so as to achieve the indoor comfort index.

Step S409, if the required ventilation quantity Q_kSatisfy Q_min<Q_k<Q_maxThe central controller 301 is composed of Q_kReversely deducing to obtain the required window opening L_kAnd then sends out the adjustment to the window opening L to the driving module_kThe window opening area A is further adjusted so as to achieve the purpose of adjusting the ventilation volume.

In this embodiment, historical data such as indoor temperature and humidity, wind speed parameters, window opening area and the like in the memory 302 are used as input, machine learning methods such as a neural network and the like are used for learning a corresponding PMV output rule, and the learning result is used for further feeding back and correcting calculation results such as window opening and closing distance in the control module. When correcting the influence of different parameters on the PMV calculation, if the RH is 75-85%, adding 0.5 ℃ to the temperature measurement value; RH is above 85%, the temperature measured value is added with 1 ℃, and then the corresponding PMV value is obtained by calculating the revised temperature and humidity and other parameters.

The invention can carry out refined automatic control on the opening of the window according to the indoor comfort requirement, can also realize the intelligent linkage of the window and a fresh air system, and can carry out the regulation of the indoor thermal environment by utilizing renewable energy to the maximum extent.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.

Finally, it is to be noted that: the above description is only a preferred embodiment of the present invention, and is only used to illustrate the technical solutions of the present invention, and not to limit the protection scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.