CN116412519A - Intelligent control method for energy-saving ventilation system - Google Patents
Intelligent control method for energy-saving ventilation system Download PDFInfo
- Publication number
- CN116412519A CN116412519A CN202310500921.3A CN202310500921A CN116412519A CN 116412519 A CN116412519 A CN 116412519A CN 202310500921 A CN202310500921 A CN 202310500921A CN 116412519 A CN116412519 A CN 116412519A
- Authority
- CN
- China
- Prior art keywords
- indoor
- temperature
- max
- air
- ventilation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000009423 ventilation Methods 0.000 title claims abstract description 56
- 238000000034 method Methods 0.000 title claims abstract description 33
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims abstract description 48
- 229910002092 carbon dioxide Inorganic materials 0.000 claims abstract description 24
- 239000001569 carbon dioxide Substances 0.000 claims abstract description 24
- 238000005338 heat storage Methods 0.000 claims abstract description 13
- 238000005265 energy consumption Methods 0.000 abstract description 6
- 238000001816 cooling Methods 0.000 abstract description 5
- 230000006870 function Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- 238000005192 partition Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 230000033228 biological regulation Effects 0.000 description 2
- 229910052799 carbon Inorganic materials 0.000 description 2
- 238000010438 heat treatment Methods 0.000 description 2
- 238000005057 refrigeration Methods 0.000 description 2
- 238000007789 sealing Methods 0.000 description 2
- 241000282412 Homo Species 0.000 description 1
- 238000004378 air conditioning Methods 0.000 description 1
- 238000003915 air pollution Methods 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000000919 ceramic Substances 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000017525 heat dissipation Effects 0.000 description 1
- 238000003905 indoor air pollution Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000004630 mental health Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000035900 sweating Effects 0.000 description 1
Images
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/89—Arrangement or mounting of control or safety devices
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/65—Electronic processing for selecting an operating mode
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
- F24F11/74—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
- F24F11/77—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity by controlling the speed of ventilators
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Fluid Mechanics (AREA)
- Ventilation (AREA)
Abstract
The invention relates to an intelligent control method of an energy-saving ventilation system, wherein the energy-saving ventilation system comprises a fan, a temperature sensor, a carbon dioxide concentration sensor, a controller and one or more heat storage heat exchangers positioned in a ventilation air path, and the intelligent control method comprises the following steps: when the user selects the automatic mode, the operation mode is switched based on the following mode function S, and s=f (C in ,T in ,T out ) Wherein C in Is the concentration of carbon dioxide and T in the room in Is the indoor air temperature T out Is the outdoor air temperature. By adopting the intelligent control method, the building can automatically realize healthy ventilation, thermal comfort ventilation, cooling ventilationAnd the ventilation can be realized without heat exchange, and the energy consumption of building operation can be reduced.
Description
Technical Field
The invention relates to the field of building ventilation, in particular to an intelligent control method of an energy-saving ventilator.
Background
Humans spend about 90% of their time indoors, where the air quality has a significant impact on their physical and mental health. Therefore, ventilation is required for any living building, particularly for office, medical, educational, residential, etc. Building ventilation faces three requirements of indoor air quality, thermal comfort and low-carbon operation of the building. Specifically, the excellent air quality in the room requires as large an air volume as possible (generally, the indoor air pollution degree is 2-3 times more serious than the outdoor air pollution); the indoor thermal comfort is good, and the temperature of the indoor airflow is required to be as close to the temperature range comfortable to the human body as possible; however, to meet the requirement of low-carbon operation of the building, the building is required to have high air tightness and cannot leak air. Currently, the requirements of three aspects of building ventilation are in sharp contradiction, especially in the case of large indoor and outdoor temperature differences, such as in northern heating seasons and southern cooling seasons.
Under the existing living habit and ventilation technical conditions, building ventilation cannot meet the requirements of three aspects of air quality, thermal comfort and low-energy-consumption operation of the building at the same time.
To solve the above problems, CN108534290a discloses a fresh air handling unit control method and a fresh air handling unit, and in particular relates to a heat exchange mode switching step, a drainage step and a fresh air handling unit working mode. However, each operation mode of the fresh air handling unit related to the patent involves mechanical rotation of the heat exchange core, complex driving mechanism of the heat exchange core and air valve switching mechanism, the sealing member is an air bag, control and sealing are difficult, and indoor thermal comfort is not considered during ventilation.
CN112923523a discloses an intelligent fresh air system regulation and control method based on an internet of things data chain, which regulates and controls a fresh air system based on big data and from the angle of deep learning and neural network. But whether the method can accurately control the fresh air system and provide proper fresh air and thermal comfort for indoor personnel depends on the performance of the ventilator and a large amount of reasonable operation data. However, based on the large data of the existing ventilation equipment and ventilation habits, an erroneous control method may be derived.
CN109737551a discloses a control method for an energy-saving fresh air partition system, which is to implement partition control on a ventilation system by arranging a pipeline valve and a pipeline fan on a pipeline network of an air duct. The pipeline valve and the pipeline fan are controlled by judging whether the partition air opening in the room is opened or not, so that ventilation of the room with only the partition air opening opened is realized. However, the control method does not include the adjustment of the fan operation mode according to the conditions of parameters such as indoor air quality, indoor and outdoor temperature and the like.
CNCN113915748A discloses a fresh air control method, a device, a fresh air fan and a fresh air conditioner, which control the indoor environment by taking thermal comfort as a main target through combined control of the air conditioner and the fresh air fan, but does not consider indoor air quality parameters and building operation energy consumption.
Therefore, there is a need to develop a novel intelligent control method for an energy-saving ventilation system, which should comprehensively consider indoor CO 2 Concentration, indoor temperature and outdoor temperature in CO 2 The concentration and the thermal comfort are constraint conditions, the lowest energy consumption of building operation is taken as a target, and the energy-saving function of the building is realized on the basis of ensuring the indoor air quality and the indoor thermal comfort.
Disclosure of Invention
The present invention has been made in order to solve the above-described problems, and has been made by the present inventors.
The application provides an energy-saving ventilation system intelligent control method, wherein the energy-saving ventilation system comprises a fan, a temperature sensor, a carbon dioxide concentration sensor, a controller and one or more heat storage heat exchangers positioned in a ventilation air path, and the intelligent control method comprises the following steps: in the case where the user selects the automatic mode, switching of the operation mode is performed based on the following mode function S,
S=f(C in ,T in ,T out ),
wherein C is in Is the concentration of carbon dioxide and T in the room in Is the indoor air temperature T out Is the outdoor air temperature.
2. The intelligent control method of an energy saving ventilation system according to claim 1, wherein the pattern function S is performed according to the following rule:
(1) When one of the following conditions is satisfied, the fan is turned off
(S a )T in ≤T in,max And C in ≤C in,c The method comprises the steps of carrying out a first treatment on the surface of the Or (b)
(S b )T out >T in >T in,max And C in ≤C in,c ;
(2) The fan adopts a reciprocating mode of operation when one of the following conditions is satisfied:
(S c )T out <T out,min and T is in ≤T in,max And C in >C in,c The method comprises the steps of carrying out a first treatment on the surface of the Or (b)
(S d )T out >T out,max And T is in ≤T in,max And C in >C in,c ;
(3) The fan adopts an air intake mode when the following conditions are satisfied:
(S e )T out <T in and T is in >T in,max ;
(4) The fan adopts the exhaust mode when the following conditions are satisfied:
(S f )T out >T in >T in,max and C in >C in,c ;
Wherein T is in,min Lower threshold of indoor temperature, T in,max Upper limit threshold of indoor temperature, T out,min For the lower threshold of the outdoor temperature, T out,max For the upper limit threshold of the outdoor temperature, T in Is the indoor temperature, T out For the outdoor temperature to be the same,C in c is the concentration of indoor carbon dioxide in,c Is the critical value of the indoor carbon dioxide concentration.
Wherein the indoor carbon dioxide concentration C in Measured by a carbon dioxide concentration sensor, the indoor temperature T in And an outdoor temperature T out Measured by an indoor temperature sensor and an outdoor temperature sensor, respectively, and the measurement results are transmitted to a controller.
The heat storage heat exchanger is made of porous and high-specific heat materials, such as porous ceramic bodies, which are arranged in ventilation air paths, and the porosity ensures that air can pass through the porous and high-specific heat materials with low resistance and provides a large heat exchange area, so that the air and the material body can exchange heat conveniently.
The indoor temperature lower limit threshold T in,min Upper limit threshold T of indoor temperature in,max Lower threshold T of outdoor temperature out,min Upper limit threshold T of outdoor temperature out,max Critical value C of indoor carbon dioxide concentration in,c All are preset values when the system leaves the factory, and the user can carry out secondary setting according to personal preference through the touch screen of the controller. For example, the indoor temperature lower limit threshold T in,min Can be a specific temperature value within the range of 18-22 ℃ and an indoor temperature upper limit threshold T in,max Can be a specific temperature value ranging from 23 ℃ to 28 ℃, and the lower limit threshold value T of the outdoor temperature out,min Can be a certain temperature value ranging from-5 ℃ to 4 ℃, and the upper limit threshold value T of the outdoor temperature out,max Can be a certain temperature value in the range from 30 ℃ to 42 ℃, and the critical value C of the indoor carbon dioxide concentration in,c May be a value in the range from 600 to 1000ppm by volume, such as 700ppm.
The air inlet mode refers to that the fan is used for leading outdoor air into a room, the air exhaust mode refers to that the fan is used for discharging indoor air to the outside, the reciprocating mode refers to that the air inlet mode and the air exhaust mode are alternately performed, and the air inlet mode and the air exhaust mode can be switched by controlling the fan to rotate clockwise or anticlockwise through a controller.
The invention also relates to the following terms, which are worth explaining as necessary:
healthy ventilation: the indoor air is updated by using the outdoor fresh air, so that the indoor air quality is kept to meet the human health requirement.
Thermal comfort ventilation: the ventilation is used for increasing the heat dissipation of a human body, preventing discomfort caused by sweating of skin and improving the thermal comfort condition.
Cooling and ventilating: when the outdoor air temperature is lower than the indoor air temperature, the air with lower outdoor temperature is introduced into the room to cool the indoor air and the surface.
Energy saving: refers to reducing the energy consumption of building operation.
Specifically, the mode function of the present invention is at least one of modes shown in the following table:
of course, the energy efficient ventilation system of the present invention also provides a manual control mode to the user, which may not be limited to selecting among the above mode functions.
The invention has the beneficial effects that:
the invention controls the running/closing of the fan and different modes under the running condition based on the comparison of three parameters of indoor carbon dioxide concentration, outdoor temperature and indoor temperature with the upper limit threshold, the lower limit threshold, the critical value and the like of each set parameter for the first time, achieves the technical effect of 'ventilation without heat exchange', and realizes the compromise of three aspects of ventilation, indoor temperature regulation and building energy conservation by reducing the indoor carbon dioxide concentration. In addition, the invention does not need additional heat source and cold source, can work only by matching with the existing heat source and cold source of the building, and has simple and convenient installation and low cost.
Drawings
In the drawings, which are not drawn to scale, like reference numerals may describe similar components in different views.
Fig. 1 is a schematic diagram of an energy efficient ventilation system.
FIG. 2 is a control flow diagram of one embodiment of an energy efficient ventilation system.
FIG. 3 is a schematic diagram of air flow during an air intake operation in one embodiment of a method for intelligent control of an energy efficient ventilation system.
Fig. 4 is a schematic diagram of air flow in an exhaust operation state in an embodiment of the intelligent control method of the energy-saving ventilation system.
Reference numerals
1. Sensor (indoor temperature sensor and indoor carbon dioxide concentration sensor)
2. Controller for controlling a power supply
3. Outdoor temperature sensor
4. Fan with fan body
5. A heat storage heat exchanger.
Detailed Description
In order to keep the following description of the present invention clear and concise, detailed descriptions of known functions and known components are omitted.
The technical scheme of the present invention will be described in further detail below by taking an office building equipped with the energy-saving ventilation system and adopting the intelligent control method of the present invention as an example. In the following embodiment, the upper limit threshold T of the indoor temperature in,max Set to 26 ℃ and the indoor temperature lower limit threshold T in,min Set to 18 ℃ and the upper limit threshold T of the outdoor temperature out,max Set to 28 ℃ and the outdoor temperature lower limit threshold T out,min Setting to 10 ℃ and critical value C of carbon dioxide concentration in ,. Set to 700ppm. These settings are merely illustrative and not limiting.
When the winter season is long (outdoor temperature T out When the temperature is = -10deg.C), the building is heated to cause indoor thermal comfort (such as indoor temperature T) in The intelligent control method of the invention detects the concentration C of carbon dioxide in the building in =720 ppm, exceeding the preset carbon dioxide concentration threshold of 700ppm (i.e. C in >C in,c ) Thus, roomThe inside air becomes dirty gradually, ventilation is desired to make the air fresh, but at this time the outside temperature is too low, i.e., T out <T out,min If the direct window is opened for ventilation, strong outdoor cold air can enter the building to bring cold feeling to people. At this time, the intelligent control method of the invention judges that the intelligent control method accords with T out <T out,min And T is in ≤T in,max And C in >C in,c Under these conditions, the fan is started to operate in a reciprocating mode, when the air is exhausted, the indoor hot air flows through the heat storage heat exchanger to store heat in the heat storage heat exchanger, and when the air is taken in, the external cold air flows through the heat storage heat exchanger to be heated into air with the temperature close to the indoor temperature by the heat stored in the heat storage heat exchanger and then enters the room, so that ventilation is realized, the air is fresh, the indoor heat is hardly lost, the room temperature is kept (the indoor people have almost no feeling on temperature fluctuation caused by ventilation), the heating load is reduced, and the technical effect of no heat exchange during ventilation is achieved.
In the midsummer season when the weather is clear (e.g. outdoor temperature T out When the temperature is 33 ℃, the indoor heat comfort (such as indoor temperature T) is caused by air conditioning refrigeration in the building in The intelligent control method of the invention detects the concentration C of carbon dioxide in the building in =740 ppm, exceeding the preset carbon dioxide concentration threshold of 700ppm (i.e. C in >C in,c ) Therefore, the indoor air becomes dirty gradually, and ventilation is desired to make the air fresh, but at this time, the outdoor temperature is too high, i.e., T out >T out,max If the window is directly opened for ventilation, strong outdoor hot air can enter the building to bring summer heat to people. At this time, the intelligent control method of the invention judges that the intelligent control method accords with T out >T out,max And T is in ≤T in,max And C in >C in,c Under these conditions, the fan is started to perform the reciprocating operation mode, when the air is exhausted, the indoor cold air flows through the heat storage heat exchanger to store cold energy in the heat storage heat exchanger, and when the air is taken in, the external hot air flows through the heat storage heat exchanger to be cooled into air with the temperature close to the indoor temperature by the cold energy stored in the heat storage heat exchanger and then enters the indoor, so that ventilation is realized, and the air is freshThe indoor cooling capacity is hardly lost, so that the room temperature is kept (indoor people hardly feel temperature fluctuation caused by ventilation), the load of the refrigeration air conditioner is reduced, and the technical effect of ventilation without heat exchange is achieved.
In spring and autumn, because the outdoor air and the indoor temperature are suitable, people can open windows for ventilation, and at the moment, the intelligent control system detects T in ≤T in,max And C in ≤C in,c And judging that the indoor heat and discomfort are avoided, the quality reaches the standard, and ventilation is not needed, so that the instruction fan is in a closed state, and unnecessary idle energy consumption is avoided.
In summer, T is also present out >T in >T in,max For example, the outdoor temperature is 35 ℃, the indoor temperature is 28 ℃ and exceeds the upper limit value of the indoor comfort temperature of 26 ℃, but the indoor carbon dioxide concentration is not out of standard yet, and at the moment, the indoor air quality reaches the standard without healthy ventilation; although the indoor has a slight heat uncomfortableness problem, the ventilation can lead to outdoor hot air to cause higher temperature and more uncomfortableness, and the ventilation condition is not met, so the fan is also instructed to be in a closed state at the moment.
At night in summer, T is also present out <T in And T is in >T in,max For example, the outdoor temperature is 36 ℃, the indoor temperature is 38 ℃, the indoor temperature is higher than the upper limit value of the indoor comfortable temperature, the outdoor temperature is lower than the indoor temperature, and cooling and ventilation are needed, so that the concentration index of carbon dioxide is not needed to be judged any more, and the intelligent control system can directly instruct the fan to be in an air inlet state.
In summer, T is also present out >T in >T in,max And C in >C in,c For example, the outdoor temperature is 36 ℃, the indoor temperature is 32 ℃, the indoor temperature is higher than the upper limit of the comfortable temperature, and the indoor air is dirty, and the air needs to be exhausted, so the intelligent control system instructs the fan to be in an exhaust state.
The above embodiments are only exemplary embodiments of the present invention and are not intended to limit the present invention, the scope of which is defined by the claims. Various modifications and equivalent arrangements of this invention will occur to those skilled in the art, and are intended to be within the spirit and scope of the invention.
Claims (2)
1. An intelligent control method of an energy-saving ventilation system, wherein the energy-saving ventilation system comprises a fan, a temperature sensor, a carbon dioxide concentration sensor, a controller and one or more heat storage heat exchangers positioned in a ventilation air path, the intelligent control method comprises: in the case where the user selects the automatic mode, switching of the fan operation mode is performed based on the following mode function S,
S=f(C in ,T in ,T out ),
wherein C is in Is the concentration of carbon dioxide and T in the room in Is the indoor air temperature T out Is the outdoor air temperature.
2. The energy saving ventilation system intelligent control method of claim 1, wherein the pattern function S is selected from at least one of:
(1) When one of the following conditions is satisfied, the fan is turned off
(S a )T in ≤T in,max And C in ≤C in,c The method comprises the steps of carrying out a first treatment on the surface of the Or (b)
(S b )T out >T in >T inmax And C in ≤C in,c ;
(2) The fan adopts a reciprocating mode of operation when one of the following conditions is satisfied:
(S c )T out <T out,min and T is in ≤T in,max And C in >C in,c The method comprises the steps of carrying out a first treatment on the surface of the Or (b)
(S d )T out >T out,max And T is in ≤T in,max And C in >C in,c ;
(3) The fan adopts an air intake mode when the following conditions are satisfied:
(S e )T out <T in and T is in >T in,max
(4) The fan adopts the exhaust mode when the following conditions are satisfied:
(S f )T out >T in >T in,max and C in >C in,c ;
Wherein T is in,min Lower threshold of indoor temperature, T in,max Upper limit threshold of indoor temperature, T out,min For the lower threshold of the outdoor temperature, T out,max For the upper limit threshold of the outdoor temperature, T in Is the indoor temperature, T out For outdoor temperature, C in C is the concentration of indoor carbon dioxide in,c Is the critical value of the indoor carbon dioxide concentration.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310500921.3A CN116412519A (en) | 2023-05-04 | 2023-05-04 | Intelligent control method for energy-saving ventilation system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310500921.3A CN116412519A (en) | 2023-05-04 | 2023-05-04 | Intelligent control method for energy-saving ventilation system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN116412519A true CN116412519A (en) | 2023-07-11 |
Family
ID=87057925
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202310500921.3A Pending CN116412519A (en) | 2023-05-04 | 2023-05-04 | Intelligent control method for energy-saving ventilation system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN116412519A (en) |
-
2023
- 2023-05-04 CN CN202310500921.3A patent/CN116412519A/en active Pending
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN101625147B (en) | The supply air switching controller of air-conditioner control system and use thereof, air conditioning control method | |
CN111237901B (en) | Purifying air-conditioning system for laminar flow operating room constant temperature air supply | |
US6916239B2 (en) | Air quality control system based on occupancy | |
EP2581675A1 (en) | Ventilation and air-conditioning apparatus and method for controlling same | |
CN111397079A (en) | Linkage control method for window opening and closing and air conditioning system | |
CN110925995A (en) | Method and system for air conditioning adaptive control air conditioning | |
KR20040102566A (en) | air-conditioner system with ventilation | |
WO2006054586A1 (en) | Air conditioning system and method of controlling air conditioning system | |
CN210179763U (en) | Air conditioner indoor unit and air conditioner | |
JP2003083586A (en) | Controller for air conditioner | |
CN109236105B (en) | Intelligent ventilation electric window system and control method thereof | |
CN205536210U (en) | Indoor environmental control unit and building environmental control system | |
CN113503586A (en) | Air conditioner indoor unit and air conditioner control method | |
KR20110048156A (en) | Operating control method of a heat exchanging ventilator | |
CN109138721B (en) | Electric window system based on air conditioner operation and control method thereof | |
CN106610083A (en) | Method and device for controlling heat exchange air speed of air conditioner | |
CN116412519A (en) | Intelligent control method for energy-saving ventilation system | |
CN205783335U (en) | Air conditioning equipment and fan coil pipe | |
CN110081567B (en) | Flow disturbing method of air conditioner | |
KR100850942B1 (en) | ventilating device and method of operating the same | |
KR100386703B1 (en) | Control method of thermal comfort and carbon dioxide density for fresh air conditioning system | |
CN113091132A (en) | Double-air-outlet fresh air conditioner indoor unit, fresh air conditioner and control method of fresh air conditioner | |
JPH11173623A (en) | Ventilation system device for housing | |
CN102374601A (en) | Energy-saving-type intelligent air renewal system of integrated air conditioner | |
JPH06129160A (en) | Air flow window |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |