CN108458441A - A kind of indoor thermal environment regulating system based on human body body-sensing - Google Patents
A kind of indoor thermal environment regulating system based on human body body-sensing Download PDFInfo
- Publication number
- CN108458441A CN108458441A CN201810107353.XA CN201810107353A CN108458441A CN 108458441 A CN108458441 A CN 108458441A CN 201810107353 A CN201810107353 A CN 201810107353A CN 108458441 A CN108458441 A CN 108458441A
- Authority
- CN
- China
- Prior art keywords
- indoor
- temperature
- human
- interpreter
- human body
- 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.)
- Withdrawn
Links
- 230000001105 regulatory effect Effects 0.000 title claims abstract description 7
- 230000003993 interaction Effects 0.000 claims abstract description 26
- 230000007246 mechanism Effects 0.000 claims abstract description 25
- 230000001953 sensory effect Effects 0.000 claims abstract description 7
- 230000005855 radiation Effects 0.000 claims description 21
- 238000006243 chemical reaction Methods 0.000 claims description 13
- 230000035807 sensation Effects 0.000 claims description 13
- 230000037323 metabolic rate Effects 0.000 claims description 3
- 230000008859 change Effects 0.000 claims description 2
- 238000004378 air conditioning Methods 0.000 abstract description 2
- 238000009434 installation Methods 0.000 abstract 1
- 210000000697 sensory organ Anatomy 0.000 abstract 1
- 238000005265 energy consumption Methods 0.000 description 7
- 230000000694 effects Effects 0.000 description 3
- 238000010438 heat treatment Methods 0.000 description 3
- 230000002503 metabolic effect Effects 0.000 description 3
- 230000003750 conditioning effect Effects 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
-
- 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
- F24F11/88—Electrical aspects, e.g. circuits
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/20—Humidity
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/20—Feedback from users
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)
- Air Conditioning Control Device (AREA)
Abstract
The invention discloses a kind of indoor thermal environment regulating system based on human body body-sensing, the indoor thermal environment regulating system includes：Human-computer interaction mechanism, indoors, oneself sensory information indoors can directly be told machine interaction means by user for the human-computer interaction mechanism installation；Interpreter, the interpreter are connect with human-computer interaction mechanism；Temperature Humidity Sensor, indoors, the Temperature Humidity Sensor is connect with interpreter for the Temperature Humidity Sensor setting；Decision-making device, the decision-making device are connect with interpreter；Controller, the controller are connect with decision-making device, indoor air-conditioning and indoor humidity control apparatus respectively.The present invention can set to avoid unreasonable temperature, after when decision-making device channel, current environment determines indoor environment comfort parameters range, controller driving adjusting device regulates and controls indoor thermal environment, only reach the nearest comfort standard that decision-making device provides to indoor thermal environment, if user's sense organ still locates discomfort at this time, corresponding comfort parameters region is adjusted according to user feedback.
Description
Technical Field
The invention relates to an adjusting system, in particular to an indoor thermal environment adjusting system based on human body feeling.
Background
China is used as a large energy consumption country, wherein the energy consumption of buildings accounts for 24.8% of the total energy consumption of China society, more than 75% of buildings are divided into high-energy-consumption buildings according to international building energy consumption labels, and the buildings are still in an increasing stage along with the rise of living standard, so that how to control and optimize the indoor thermal environment of the buildings and the energy consumption of relevant adjusting equipment such as air conditioners, heating supplies and the like are more and more concerned by society.
The indoor temperature setting value is generally set in 2 ways: one is set by building operation managers, typically for buildings with Building Automation Systems (BAS) installed, and this is inconvenient for the user because it is difficult to take into account the different preferences of the room user for the thermal environment, and it is impossible for the user to adjust the temperature by himself. The other is set by the room user through the temperature controller, but many temperature setting values are not reasonable, such as the cooling temperature is set to 15 ℃, the heating temperature is set to 30 ℃ and the like.
In some practical buildings, it is found that the temperature setting is not reasonable, such as a room user setting the temperature to 14 ℃ despite the prompt of "please adjust the temperature to 26 ℃". It is not obvious that a very high or very low setting is really desired by the room users, who intend to let the room temperature decrease or increase rapidly by such a temperature setting, but when they are attentively put into operation, they usually forget to set the temperature back to a comfortable range, resulting in the indoor environment being too cold or too hot. Of course, there are also many temperature ranges that the user does not know clearly what the comfortable temperature range is, and thus unreasonable temperature settings are set. An unreasonable indoor temperature setting not only results in an uncomfortable indoor hot environment, but also wastes energy due to the construction of an overcooled or overheated indoor environment. Therefore, the existing indoor temperature setting method needs to be improved, and a method is needed which can provide a comfortable thermal environment satisfying the needs of the user and can prevent waste of energy for heating and air conditioning caused by unreasonable temperature setting values.
Disclosure of Invention
The invention aims to solve the problems and provides an indoor thermal environment adjusting system based on human body feeling.
In order to achieve the purpose, the technical scheme of the invention is as follows:
an indoor thermal environment conditioning system based on human body is felt, indoor thermal environment conditioning system includes:
the human-computer interaction mechanism is arranged indoors, and a user can directly speak the indoor sensory information to the human-computer interaction mechanism;
the interpreter is connected with the human-computer interaction mechanism;
the temperature and humidity sensor is arranged indoors and is connected with the interpreter;
a decision maker connected with the interpreter;
and the controller is respectively connected with the decision maker, the indoor air conditioner and the indoor humidity adjusting device.
In a preferred embodiment of the present invention, the human-computer interaction mechanism is a touch screen or a key device or a computer or a smart phone, and the human-computer interaction mechanism can read voice information spoken by a user.
In a preferred embodiment of the present invention, the human-computer interaction mechanism is a body posture language recognizer or a voice recognizer or an infrared camera.
In a preferred embodiment of the invention, sensory information includes cold, hot, dry, wet, windy, and smothery information.
In a preferred embodiment of the invention, the interpreter establishes a personalized and dynamic thermal comfort model according to the sensing information received by the man-machine interaction mechanism and the indoor temperature and humidity information detected by the temperature and humidity sensor.
In a preferred embodiment of the present invention, the thermal comfort model is based on the fluctuation range of the human thermal sensation predicted value PTS within ± 0.2, and is used as a regulation and control target of the indoor comfortable environment state, relevant factors influencing the human thermal sensation predicted value, such as radiation temperature, air flow rate, relative humidity, clothing thermal resistance, human metabolic rate, etc., are simulated into temperature in the model for calculating the human sensory predicted value, and the factors of the indoor temperature, relative humidity, air flow rate, etc., are regulated by the control device, so as to finally achieve the fluctuation of the human thermal sensation predicted value PTS within the fluctuation range of ± 0.2, and the thermal comfort model is:
ΔTa＝∑f(ΔTr,ΔVa,ΔRH,ΔTR,ΔMR)
when PTS is 0.2S,
ΔTa,min＝-0.8637×Tr+7.3×Va-0.0239×RH-7.5×MR-5.2286×TR+34.026；
when PTS is-0.2,
ΔTa,max＝-0.8315×Tr+7×Va-0.0221×RH-8.6786×MR-6×TR+33.677；
wherein,
Δ Ta is the air temperature change value,
Δ Tr is the Ta value after radiation temperature conversion,
Δ Va is the value of Ta after conversion of the radiation temperature,
Δ RH, which is the Ta value after the radiation temperature is converted,
Δ TR, which is the Ta value after radiation temperature conversion,
Δ MR, the Ta value after radiation temperature conversion,
when the indoor environment regulation and control reaches the predicted value of the model, if the human body still feels uncomfortable, the cold, heat, dry, wet and wind in the feedback result are fed back through the man-machine exchange interface, the cold, heat, dry, wet and wind in the feedback result are fed back and transmitted to the interpreter, the prediction range of the model is further adjusted, and the controller gives an adjusting instruction to the adjusting device to carry out fine adjustment through the latest thermal environment comfort range determined by the decision maker.
In a preferred embodiment of the present invention, the decision device finds a temperature and humidity point closest to the current indoor temperature and humidity state point from the thermal comfort model to determine an optimal setting value.
The invention has the beneficial effects that:
the invention can avoid unreasonable temperature setting, and provides a regulation basis for a control system by enabling a user to become a loop in dynamic closed-loop control to sense a thermal environment, namely, the user becomes a sensor, and human thermal sensation cannot make mistakes, so that the user is more reliable when the user is used as the sensor.
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 the present invention.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further explained below by combining the specific drawings.
Referring to fig. 1, the indoor thermal environment adjusting system based on human body feeling provided by the invention comprises a human-computer interaction mechanism 100, an interpreter 200, a temperature and humidity sensor 300, a decision-making device 400 and a controller 500.
The human-computer interaction mechanism 100 is installed indoors and is used for reading the user feeling information in the room, wherein the user feeling information comprises cold, hot, dry, wet, windy, stuffy and the like.
The human-computer interaction mechanism 100 may be a touch screen or a key device or a computer or a smart phone, and when the user speaks his own feeling, the user can read the spoken voice information.
The human-computer interaction mechanism 100 may also be a body state language recognizer or a voice recognizer or an infrared camera, the body state language recognizer or the voice recognizer may read voice information spoken by a user, and the infrared camera may directly measure the surface temperature of the human body to obtain the sensory information.
In addition, the human-computer interaction mechanism 100 can also acquire psychological factors and human factors engineering technical information, and comprehensive consideration can be given to the acquisition of the user feeling information through the information.
And a temperature and humidity sensor 300 which is disposed indoors and can detect indoor temperature information and humidity information.
And the interpreter 200 is respectively connected with the human-computer interaction mechanism 100 and the temperature and humidity sensor 300, and information acquired by the human-computer interaction mechanism 100 and the temperature and humidity sensor 300 can be sent to the interpreter 200.
The interpreter 200 can establish a personalized and dynamic thermal comfort model and a thermal comfort model according to the information, wherein the thermal comfort model is used as a regulation and control target of an indoor comfortable environment state based on the fluctuation range of a human body thermal sensation predicted value PTS within +/-0.2, relevant factors influencing the human body thermal sensation predicted value such as radiation temperature, air flow rate, relative humidity, clothes thermal resistance, human body metabolic rate and the like are simulated into temperature in the model for calculating the human body thermal sensation predicted value, and the factors such as the indoor temperature, the relative humidity, the air flow rate and the like are regulated through control equipment, so that the human body thermal sensation predicted value PTS fluctuates within the fluctuation range of +/-0.2.
The thermal comfort model is specifically:
ΔTa＝∑f(ΔTr,ΔVa,ΔRH,ΔTR,ΔMR)
wherein,
Δ Ta is the air temperature variation value
Δ Tr is the value of Ta after conversion of radiation temperature
Delta Va is the Ta value after radiation temperature conversion
Delta RH is the Ta value after radiation temperature conversion
Delta TR is the Ta value after radiation temperature conversion
Delta MR is Ta value after radiation temperature conversion
Substitution of radiation temperature:
when PTS is 0.2: delta Tr-0.8637 × Tr +49.509-26.6
When PTS ═ 0.2: delta Tr-0.8315 × Tr +46.774-25.6
Replacement of air flow rate:
when PTS is 0.2: delta Va ═ 7.3 × Va +26.07-26.6
When PTS ═ 0.2: Δ Va ═ 7.0 × Va +25.10-25.6
Replacement of relative humidity:
when PTS is 0.2: Δ RH ═ 0.0239 × RH +27.821-26.6
When PTS ═ 0.2: Δ RH ═ 0.0221 × RH +26.671-25.6
Substitution of human metabolic strength:
when PTS is 0.2: Δ MR ═ 7.500 × MR +34.421-26.6
When PTS ═ 0.2: Δ MR ═ 8.679 × MR +34.532-25.6
The replacement of clothing thermal resistance:
when PTS is 0.2: Δ TR-5.229 × TR +29.205-26.6
When PTS ═ 0.2: Δ TR-6.000 × TR +28.600-25.6
Setting the thermal resistance TR of the garment to be 0.6clo in summer, namely, the tested person wears the shirt and western-style trousers; the metabolic intensity MR of the human body is 1.1met, namely, the tested person is in a mild activity state; the radiation temperature is calculated as the room air temperature.
Setting the thermal resistance TR of the clothing to be 1.8clo in winter, namely, the tested person wears the clothing which is frequently used in winter; the metabolic intensity MR of the human body is 1.1met, namely, the tested person is in a mild activity state; the radiation temperature was calculated to be 3 deg.c lower than the room temperature.
Is obtained from
When the PTS is 0.2,
ΔTa,min＝-0.8637×Tr+7.3×Va-0.0239×RH-7.5×MR-5.2286×TR+34.026
when PTS is-0.2,
ΔTa,max＝-0.8315×Tr+7×Va-0.0221×RH-8.6786×MR-6×TR+33.677
finally, the temperature T after replacement is ensured to meet the following conditions:
in summer: 25.6+ delta Ta, min is less than or equal to T and less than or equal to 26.6+ delta Ta, max
And (3) in winter: 16.8+ delta Ta, min is less than or equal to T is less than or equal to 18.1+ delta Ta, max
When the indoor environment regulation and control reaches the predicted value of the model, if the human body still feels uncomfortable, the cold, heat, dry, wet and wind in the feedback result are fed back through the man-machine exchange interface, the cold, heat, dry, wet and wind in the feedback result are fed back and transmitted to the interpreter, the prediction range of the model is further adjusted, and the controller gives an adjusting instruction to the adjusting device to carry out fine adjustment through the latest thermal environment comfort range determined by the decision maker.
Through the model, a temperature and humidity comfortable area can be obtained, and the thermal comfort model can be continuously updated every time the interpreter 200 acquires information, so that the temperature and humidity comfortable area can be updated.
In addition, relevant policy and regulations are comprehensively considered when a temperature and humidity comfortable area is obtained.
The decision-maker 400, which is connected to the interpreter 200, is configured to determine a set value of a thermal environment control parameter that is most energy-efficient, and may find a temperature and humidity point closest to a current indoor temperature and humidity state point detected by the temperature and humidity sensor 300 from the temperature and humidity comfort region to determine an optimal set value, and send the set value to the controller 500.
After the user inputs the thermal sensation to the human-computer interaction mechanism 100 each time, the interpreter 200 updates the user comfort model to obtain a new comfort domain, and the decision-making unit 400 can find the temperature and humidity point closest to the current indoor temperature and humidity state point from the comfort domain each time as a new temperature and humidity setting. Because the new temperature and humidity set value is in the predicted comfort domain, the heat requirement of the user can be met, and simultaneously, because the new set value is closest to the current indoor temperature and humidity state, the time and the energy consumption for processing the new set value are also least.
And the controller 500 is respectively connected with the decision maker 400, the indoor air conditioner 600 and the indoor humidity adjusting device 700, and can correspondingly adjust the air conditioner 600 and the humidity adjusting device 700 according to the received set value, so that the control of the indoor temperature and humidity is realized, and the indoor temperature and humidity approach to the set value.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (7)
1. The utility model provides an indoor thermal environment governing system based on human body is felt, its characterized in that, indoor thermal environment governing system includes:
the human-computer interaction mechanism is arranged indoors, and a user can directly speak the indoor sensory information to the human-computer interaction mechanism;
the interpreter is connected with the human-computer interaction mechanism;
the temperature and humidity sensor is arranged indoors and is connected with the interpreter;
a decision maker connected with the interpreter;
and the controller is respectively connected with the decision maker, the indoor air conditioner and the indoor humidity adjusting device.
2. The system of claim 1, wherein the human-machine interaction mechanism is a touch screen or a key device or a computer or a smart phone, and the human-machine interaction mechanism is capable of reading voice information spoken by a user.
3. The system of claim 1, wherein the human-computer interaction mechanism is a body state speech recognizer, a voice recognizer, or an infrared camera.
4. The system of claim 1, wherein the sensory information comprises cold, hot, dry, wet, windy, and smothering information.
5. The system for regulating the indoor thermal environment based on the human body feeling of claim 1, wherein the interpreter establishes a personalized and dynamic thermal comfort model according to the feeling information received by the human-computer interaction mechanism and the indoor temperature and humidity information detected by the temperature and humidity sensor.
6. The system of claim 1, wherein the thermal comfort model is based on a human body thermal sensation predicted value PTS within a fluctuation range of ± 0.2, and is used as a regulation target of an indoor comfort environment state, relevant factors influencing the human body thermal sensation predicted value, such as radiation temperature, air flow rate, relative humidity, clothing thermal resistance, human body metabolic rate, are simulated into temperature for calculating the human body thermal sensation predicted value, and the factors such as the indoor temperature, the relative humidity and the air flow rate are regulated through a control device, so that the human body thermal sensation predicted value PTS fluctuates within a fluctuation range of ± 0.2, and the thermal comfort model is characterized in that:
ΔTa＝∑f(ΔTr,ΔVa,ΔRH,ΔTR,ΔMR)
when PTS is 0.2S,
ΔTa,min＝-0.8637×Tr+7.3×Va-0.0239×RH-7.5×MR-5.2286×TR+34.026；
when PTS is-0.2,
ΔTa,max＝-0.8315×Tr+7×Va-0.0221×RH-8.6786×MR-6×TR+33.677；
wherein,
Δ Ta is the air temperature change value,
Δ Tr is the Ta value after radiation temperature conversion,
Δ Va is the value of Ta after conversion of the radiation temperature,
Δ RH, which is the Ta value after the radiation temperature is converted,
Δ TR, which is the Ta value after radiation temperature conversion,
Δ MR, the Ta value after radiation temperature conversion,
when the indoor environment regulation and control reaches the predicted value of the model, if the human body still feels uncomfortable, the cold, heat, dry, wet and wind in the feedback result are fed back through the man-machine exchange interface, the cold, heat, dry, wet and wind in the feedback result are fed back and transmitted to the interpreter, the prediction range of the model is further adjusted, and the controller gives an adjusting instruction to the adjusting device to carry out fine adjustment through the latest thermal environment comfort range determined by the decision maker.
7. The system of claim 5, wherein the decision-maker finds a temperature and humidity point closest to a current indoor temperature and humidity state point from the thermal comfort model to determine an optimal setting value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810107353.XA CN108458441A (en) | 2018-02-02 | 2018-02-02 | A kind of indoor thermal environment regulating system based on human body body-sensing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810107353.XA CN108458441A (en) | 2018-02-02 | 2018-02-02 | A kind of indoor thermal environment regulating system based on human body body-sensing |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108458441A true CN108458441A (en) | 2018-08-28 |
Family
ID=63239398
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810107353.XA Withdrawn CN108458441A (en) | 2018-02-02 | 2018-02-02 | A kind of indoor thermal environment regulating system based on human body body-sensing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108458441A (en) |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109506339A (en) * | 2018-11-23 | 2019-03-22 | 珠海格力电器股份有限公司 | Cold feeling identification control method and device for temperature regulation equipment and storage medium |
| CN109612034A (en) * | 2018-11-30 | 2019-04-12 | 广东美的制冷设备有限公司 | Temprature control method, device and storage medium |
| CN109682043A (en) * | 2018-12-28 | 2019-04-26 | 中冶置业集团有限公司 | A kind of thermophilic suitable humidity environmental control system based on human thermal comfort mechanism |
| CN109945437A (en) * | 2019-03-29 | 2019-06-28 | 广东美的制冷设备有限公司 | Control method, device, air conditioner and the storage medium of air conditioner |
| CN110426662A (en) * | 2019-07-26 | 2019-11-08 | 上海联影医疗科技有限公司 | The scan control method and magnetic resonance imaging system of magnetic resonance imaging system |
| CN111829147A (en) * | 2020-06-28 | 2020-10-27 | 五邑大学 | Human comfort analysis method and device and storage medium |
| CN112113317A (en) * | 2020-10-14 | 2020-12-22 | 清华大学 | Indoor thermal environment control system and method |
| CN112628969A (en) * | 2020-12-24 | 2021-04-09 | 重庆大学 | Airtight environment comfort air conditioning system simulating external environment change |
| CN112856710A (en) * | 2021-01-26 | 2021-05-28 | 海信（广东）空调有限公司 | Air conditioner control method and air conditioner |
| CN113310190A (en) * | 2021-06-09 | 2021-08-27 | 海信（山东）空调有限公司 | Control method and device of air conditioner, air conditioner and computer readable storage medium |
| CN113310191A (en) * | 2021-06-09 | 2021-08-27 | 海信（山东）空调有限公司 | Control method and device of air conditioner, air conditioner and computer readable storage medium |
| CN113310192A (en) * | 2021-06-09 | 2021-08-27 | 海信（山东）空调有限公司 | Control method and device of air conditioner, air conditioner and computer readable storage medium |
| CN113418286A (en) * | 2021-06-17 | 2021-09-21 | 绍兴艾能科技有限公司 | Self-adaptive thermal sensing robot and air conditioner temperature adjusting method |
| CN113446711A (en) * | 2021-06-09 | 2021-09-28 | 海信（山东）空调有限公司 | Control method and device of air conditioner, air conditioner and computer readable storage medium |
| CN113446712A (en) * | 2021-06-09 | 2021-09-28 | 海信（山东）空调有限公司 | Control method and device of air conditioner, air conditioner and computer readable storage medium |
| CN113865022A (en) * | 2021-09-16 | 2021-12-31 | 青岛海信日立空调系统有限公司 | Control method and device of air conditioner |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102692068A (en) * | 2012-06-15 | 2012-09-26 | 海尔集团公司 | Voice-controlled air conditioner with voice interaction function |
| US20140048244A1 (en) * | 2012-08-17 | 2014-02-20 | Albert Reid Wallace | Hydronic building systems control |
| CN105222271A (en) * | 2015-09-17 | 2016-01-06 | 广东美的制冷设备有限公司 | A kind of pleasant climate method, controller and air-conditioning system |
| CN106225163A (en) * | 2016-07-29 | 2016-12-14 | 北京同衡能源技术研究院有限公司 | A kind of indoor environment test and appraisal control method and system |
| CN107166654A (en) * | 2017-05-27 | 2017-09-15 | 珠海格力电器股份有限公司 | Air conditioner control method and device and air conditioner |
-
2018
- 2018-02-02 CN CN201810107353.XA patent/CN108458441A/en not_active Withdrawn
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102692068A (en) * | 2012-06-15 | 2012-09-26 | 海尔集团公司 | Voice-controlled air conditioner with voice interaction function |
| US20140048244A1 (en) * | 2012-08-17 | 2014-02-20 | Albert Reid Wallace | Hydronic building systems control |
| CN105222271A (en) * | 2015-09-17 | 2016-01-06 | 广东美的制冷设备有限公司 | A kind of pleasant climate method, controller and air-conditioning system |
| CN106225163A (en) * | 2016-07-29 | 2016-12-14 | 北京同衡能源技术研究院有限公司 | A kind of indoor environment test and appraisal control method and system |
| CN107166654A (en) * | 2017-05-27 | 2017-09-15 | 珠海格力电器股份有限公司 | Air conditioner control method and device and air conditioner |
Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109506339A (en) * | 2018-11-23 | 2019-03-22 | 珠海格力电器股份有限公司 | Cold feeling identification control method and device for temperature regulation equipment and storage medium |
| CN109612034B (en) * | 2018-11-30 | 2022-04-12 | 广东美的制冷设备有限公司 | Temperature control method, device and storage medium |
| CN109612034A (en) * | 2018-11-30 | 2019-04-12 | 广东美的制冷设备有限公司 | Temprature control method, device and storage medium |
| CN109682043A (en) * | 2018-12-28 | 2019-04-26 | 中冶置业集团有限公司 | A kind of thermophilic suitable humidity environmental control system based on human thermal comfort mechanism |
| CN109945437A (en) * | 2019-03-29 | 2019-06-28 | 广东美的制冷设备有限公司 | Control method, device, air conditioner and the storage medium of air conditioner |
| CN110426662A (en) * | 2019-07-26 | 2019-11-08 | 上海联影医疗科技有限公司 | The scan control method and magnetic resonance imaging system of magnetic resonance imaging system |
| CN111829147A (en) * | 2020-06-28 | 2020-10-27 | 五邑大学 | Human comfort analysis method and device and storage medium |
| CN112113317A (en) * | 2020-10-14 | 2020-12-22 | 清华大学 | Indoor thermal environment control system and method |
| CN112113317B (en) * | 2020-10-14 | 2024-05-24 | 清华大学 | Indoor thermal environment control system and method |
| CN112628969A (en) * | 2020-12-24 | 2021-04-09 | 重庆大学 | Airtight environment comfort air conditioning system simulating external environment change |
| CN112856710A (en) * | 2021-01-26 | 2021-05-28 | 海信（广东）空调有限公司 | Air conditioner control method and air conditioner |
| CN113310192A (en) * | 2021-06-09 | 2021-08-27 | 海信（山东）空调有限公司 | Control method and device of air conditioner, air conditioner and computer readable storage medium |
| CN113446711A (en) * | 2021-06-09 | 2021-09-28 | 海信（山东）空调有限公司 | Control method and device of air conditioner, air conditioner and computer readable storage medium |
| CN113446712A (en) * | 2021-06-09 | 2021-09-28 | 海信（山东）空调有限公司 | Control method and device of air conditioner, air conditioner and computer readable storage medium |
| CN113310191A (en) * | 2021-06-09 | 2021-08-27 | 海信（山东）空调有限公司 | Control method and device of air conditioner, air conditioner and computer readable storage medium |
| CN113310190A (en) * | 2021-06-09 | 2021-08-27 | 海信（山东）空调有限公司 | Control method and device of air conditioner, air conditioner and computer readable storage medium |
| CN113418286A (en) * | 2021-06-17 | 2021-09-21 | 绍兴艾能科技有限公司 | Self-adaptive thermal sensing robot and air conditioner temperature adjusting method |
| CN113865022A (en) * | 2021-09-16 | 2021-12-31 | 青岛海信日立空调系统有限公司 | Control method and device of air conditioner |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108458441A (en) | A kind of indoor thermal environment regulating system based on human body body-sensing | |
| CN106871360B (en) | Control method of air conditioner | |
| CN101893303B (en) | Method for controlling comfortable cooling and warming of air conditioner | |
| CN110887174B (en) | Control method of air conditioner and air conditioner | |
| CN108444051B (en) | Indoor temperature intelligent dynamic control system and control method thereof | |
| JP5038757B2 (en) | Air conditioning control system | |
| CN110671798A (en) | Indoor thermal environment control system for predicting thermal sensation based on artificial intelligence technology | |
| CN104896663A (en) | Adjusting method, adjusting system for air supply mode of air conditioner and air conditioner | |
| CN106885339B (en) | Control method of air conditioner | |
| CN110887175B (en) | Control method of air conditioner and air conditioner | |
| CN107084490B (en) | Control method of air conditioner and air conditioner | |
| CN108534305A (en) | The control system of air conditioner and the control method of air conditioner | |
| CN108088033A (en) | Indoor temperature adjustment control method | |
| CN105042813A (en) | Frequency conversion air conditioner control method | |
| WO2020052483A1 (en) | Air conditioner control method and air conditioner | |
| CN107062532A (en) | The control method of air conditioner | |
| JPH0355452A (en) | Control method for air conditioner | |
| CN106871361B (en) | Control method of air conditioner | |
| CN111665879A (en) | Indoor somatosensory temperature control device and control system and intelligent mattress | |
| CN107084471B (en) | Control method of air conditioner | |
| JP2002022238A (en) | Comfortable feeling estimation device and air conditioning control device | |
| CN108591103A (en) | Fan wind speed control method system and fan | |
| CN107084472B (en) | Control method of air conditioner | |
| TW202102955A (en) | System for controlling environmental comfort using deep reinforcement learning and method thereof | |
| CN106871362A (en) | The control method of air-conditioner |
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 | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20180828 |