CN111829131A - Intelligent air conditioner control system - Google Patents
Intelligent air conditioner control system Download PDFInfo
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- CN111829131A CN111829131A CN202010757107.6A CN202010757107A CN111829131A CN 111829131 A CN111829131 A CN 111829131A CN 202010757107 A CN202010757107 A CN 202010757107A CN 111829131 A CN111829131 A CN 111829131A
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- 201000010099 disease Diseases 0.000 claims abstract description 11
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 11
- 230000036760 body temperature Effects 0.000 claims description 5
- 238000003062 neural network model Methods 0.000 claims description 5
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 4
- 239000008280 blood Substances 0.000 claims description 4
- 210000004369 blood Anatomy 0.000 claims description 4
- 229910052760 oxygen Inorganic materials 0.000 claims description 4
- 239000001301 oxygen Substances 0.000 claims description 4
- 238000000034 method Methods 0.000 abstract description 9
- 239000003570 air Substances 0.000 description 54
- 230000001276 controlling effect Effects 0.000 description 5
- 230000001105 regulatory effect Effects 0.000 description 5
- 235000020965 cold beverage Nutrition 0.000 description 4
- 230000006399 behavior Effects 0.000 description 3
- 230000001717 pathogenic effect Effects 0.000 description 3
- 238000004378 air conditioning Methods 0.000 description 2
- 230000035622 drinking Effects 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 238000005057 refrigeration Methods 0.000 description 2
- 239000012080 ambient air Substances 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007664 blowing Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
Images
Classifications
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- 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
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- 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
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
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- 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
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- 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
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- 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
- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
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- 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
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/20—Feedback from users
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- 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)
- Human Computer Interaction (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention belongs to the technical field of intelligent air conditioners, and particularly relates to an intelligent air conditioner control system, which comprises: the user side is used for collecting the physical sign data of the user; the control end is used for inputting a temperature value; the temperature sensor is also used for analyzing the input temperature value and the sign data of the user by using a preset model after the temperature value is input, and correcting the input temperature value to obtain a corrected temperature value when the analysis result is that the input temperature value has a risk of causing diseases to the user; and the temperature value is also used for controlling air supply of the air conditioner after the corrected temperature value is obtained. When the system is used, when the user subjectively judges that the temperature has a problem, the control end can correct the input temperature and then control the air supply of the air conditioner. Compared with the prior art, the method can avoid the occurrence of the condition that the user is ill due to improper temperature of subjective judgment as much as possible.
Description
Technical Field
The invention belongs to the technical field of intelligent air conditioners, and particularly relates to an intelligent air conditioner control system.
Background
Air conditioners (Air conditioners) are Air conditioners. The device is used for manually regulating and controlling parameters such as temperature, humidity, flow rate and the like of ambient air in a building or a structure.
The air conditioner is an indispensable part of people in modern life, provides cool for people, but is easy to cause diseases such as 'air conditioning diseases' when the air conditioner is normally opened. Under the condition that the air conditioner control technology is changing day by day, various healthy and intelligent air conditioners are mainly used in the market. However, in the current temperature control method of the intelligent air conditioner, basically, after the user selects the target temperature value, the air conditioner end performs air supply control according to the selection value of the user to adjust the indoor temperature.
However, when the user selects the target temperature value, the user may select the target temperature value improperly only by subjective judgment. For example, when a user just performs outdoor exercises, a very low indoor temperature is selected immediately, and if air is supplied according to a temperature value selected by the user, the user is likely to suffer from symptoms such as colds.
Therefore, an intelligent air conditioner control system is needed, which can avoid the occurrence of the condition that a user is ill due to improper temperature of subjective judgment as much as possible.
Disclosure of Invention
The invention aims to provide an intelligent air conditioner control system which can avoid the occurrence of the condition that a user is ill due to improper temperature of subjective judgment as much as possible.
The basic scheme provided by the invention is as follows:
an intelligent air conditioner control system comprising:
the user side is used for collecting the physical sign data of the user;
the control end is used for inputting a temperature value; the temperature sensor is also used for analyzing the input temperature value and the sign data of the user by using a preset model after the temperature value is input, and correcting the input temperature value to obtain a corrected temperature value when the analysis result is that the input temperature value has a risk of causing diseases to the user; and the temperature value is also used for controlling air supply of the air conditioner after the corrected temperature value is obtained.
Basic scheme theory of operation and beneficial effect:
the user end collects the physical sign data (such as body temperature, heart rate and the like) of the user. When a user wants to use the air conditioner, a temperature value is input on the control end, then the control end analyzes the input temperature value and the physical sign data of the user by using a preset model, and when the analysis result shows that the input temperature has a risk of causing diseases to the user, a target temperature value of the air conditioner is corrected to obtain a corrected temperature value; and then, the control end controls the air conditioner to supply air by using the corrected temperature value.
Therefore, when the user subjectively judges that the temperature has a problem, the control end can correct the input temperature and then control the air supply of the air conditioner. Compared with the prior art, the method can avoid the occurrence of the condition that the user is ill due to improper temperature of subjective judgment as much as possible.
Further, the control end is also used for sending out a prompt when the analysis result is that the input temperature value has a risk of causing diseases to the user, and the prompt content comprises a temperature prompt and a health prompt.
When a user is greedy, besides the improper temperature value is input at the control end of the air conditioner, other behaviors such as drinking cold drinks and the like are also generally accompanied. By the arrangement, when the analysis result is that the input temperature value has a risk of causing diseases to the user, namely the user may be greedy, the reminding content comprises temperature reminding and health reminding (such as no greedy, no cold drink, no need of cold bath and the like), and the condition that the user is ill due to improper behaviors can be reduced.
Further, the controller is also used for selecting modes, and the modes comprise a normal mode and a sleep mode; and in the sleep mode, the user side is also used for collecting user sign data every N minutes and sending the user sign data to the control side, and the control side is also used for adjusting the current temperature according to the latest sign data of the user based on a preset adjusting model.
By the mode, the user can be ensured to continuously have the proper ambient temperature in the sleeping process. The value of N may be set by those skilled in the art according to the type of the air conditioner.
Furthermore, when a plurality of user terminals send the physical sign data of the user to the same control terminal at the same time, the control terminal selects the adjustment temperature value with the maximum value as the actual adjustment value for temperature adjustment after obtaining the estimated adjustment temperature value according to each group of physical sign data.
When having many users simultaneously when present, for everyone can both be healthy reasonable enjoy the refrigeration of air conditioner, the control end obtains according to every group sign data respectively and predicts after the regulation temperature value, selects the biggest regulation temperature value of numerical value as actual regulating value and carries out temperature regulation, like this, can guarantee that the actual regulating temperature of air conditioner all belongs to healthy temperature to everyone, compromises everyone's current health state.
Further, the control end is also used for analyzing the sign data of the user.
The user can conveniently know the actual physical state of the user.
Further, the input mode of the control end comprises character input and voice input.
The user can select the input mode according to the preference of the user.
Further, the preset model and the regulation model are both neural network models.
Compared with other models, the neural network model has better stability, and can still continue self-learning and self-optimization after being trained and put into use.
Further, the physical sign data collected by the user side comprises body temperature, heart rate and blood oxygen saturation.
From these data, the current physiological characteristics of the user can be known.
Drawings
Fig. 1 is a logic block diagram of an intelligent air conditioner control system according to a first embodiment of the present invention.
Detailed Description
The following is further detailed by way of specific embodiments:
example one
As shown in fig. 1, an intelligent air conditioner control system includes a user terminal and a control terminal. In this embodiment, the user side is an intelligent bracelet; the control end is a smart phone loaded with a corresponding APP. This embodiment is summarized, and the user passes through bluetooth communication with the control end. And the control end sends a control instruction to the air conditioner through the server.
The user side is used for collecting the physical sign data of the user, and the physical sign data comprises body temperature, heart rate and blood oxygen saturation.
The control end is used for inputting temperature values, and the mode of inputting the temperature values comprises character input and voice input.
The control end is also used for analyzing the input temperature value and the sign data of the user by using a preset model after inputting the temperature value, and correcting the input temperature value to obtain a corrected temperature value when the analysis result is that the input temperature value has a pathogenic risk to the user; and the control end is also used for controlling air supply of the air conditioner after obtaining the corrected temperature value.
The control end is also used for sending out a prompt when the analysis result is that the input temperature value has a risk of causing diseases to the user, and the prompt content comprises a temperature prompt and a health prompt. In this embodiment, the reminding mode is voice and text.
The controller is also used for selecting modes, and the modes comprise a normal mode and a sleep mode; and in the sleep mode, the user side is also used for collecting user sign data every N minutes and sending the user sign data to the control side, and the control side is also used for adjusting the current temperature according to the latest sign data of the user based on a preset adjusting model. The value of N may be set by those skilled in the art according to the type of the air conditioner. In this embodiment, N is 20.
In this embodiment, the preset model and the adjustment model are both neural network models. Compared with other models, the neural network model has better stability, and can still continue self-learning and self-optimization after being trained and put into use.
The control end is also used for analyzing the sign data of the user. Thus, the user can conveniently know the actual physical state of the user.
The specific implementation process is as follows:
the user terminal collects the physical sign data (body temperature, heart rate, blood oxygen saturation and the like) of the user.
When a user wants to use the air conditioner, a temperature value is input on the control end in a preferred input mode (characters or voice), and then the control end analyzes the input temperature value and the sign data of the user by using a preset model.
And if the analysis result shows that the input temperature does not have pathogenic risk to the user, controlling air supply of the air conditioner according to the input temperature value. When the analysis result is that the input temperature has pathogenic risk to the user, correcting the target temperature value of the air conditioner to obtain a corrected temperature value; and then, the control end controls the air conditioner to supply air by using the corrected temperature value. Therefore, when the user subjectively judges that the temperature has a problem, the control end can correct the input temperature and then control the air supply of the air conditioner.
Besides, when the user greets cool, besides inputting improper temperature value at the control end of the air conditioner, other actions such as drinking cold drinks are also usually accompanied. By the arrangement, when the analysis result is that the input temperature value has a risk of causing diseases to the user, namely the user may be greedy, the reminding content comprises temperature reminding and health reminding (such as no greedy, no cold drink, no need of cold bath and the like), and the condition that the user is ill due to improper behaviors can be reduced.
If the mode selected by the user is the sleep mode when the temperature is adjusted, the user sign data are collected once and sent to the control end every 20 minutes after the temperature is adjusted, and the control end adjusts the current temperature according to the latest sign data of the user based on a preset adjusting model. By the mode, the user can be ensured to continuously have the proper ambient temperature in the sleeping process.
Because the control end is also used for analyzing the sign data of the user, when the user wants to know the body state of the user, the user can directly check the body state on the control end.
Compared with the prior art, the method can avoid the occurrence of the condition that the user is ill due to improper temperature of subjective judgment as much as possible.
Example two
Different from the first embodiment, in the present embodiment, there are multiple user terminals, and when multiple user terminals send the user sign data to the same control terminal at the same time, the control terminal obtains the estimated adjustment temperature value according to each group of sign data, and then selects the adjustment temperature value with the largest value as the actual adjustment value to perform temperature adjustment.
When having many users simultaneously when present, for everyone can both be healthy reasonable enjoy the refrigeration of air conditioner, the control end obtains according to every group sign data respectively and predicts after the regulation temperature value, selects the biggest regulation temperature value of numerical value as actual regulating value and carries out temperature regulation, like this, can guarantee that the actual regulating temperature of air conditioner all belongs to healthy temperature to everyone, compromises everyone's current health state.
EXAMPLE III
Different from the first embodiment, in this embodiment, the control end is further configured to perform user positioning, the home coordinates of the user are prestored in the control end, and when the user moves toward the home and the distance between the user coordinates and the home coordinates is not greater than X kilometers, the control end sends a collection signal to the user end, and the collection end collects the amount of exercise of the user; when the user coordinate and the house coordinate are not more than Y meters, the control end control value acquisition end acquires the current physical sign data of the user; the control end calculates the current suggested temperature suitable for the user according to the collected exercise amount and the current sign data;
and the control end is also used for controlling the air supply of the air conditioner after adjusting the input temperature to the lowest value of the suggested temperature when the user inputs the temperature and the input time and the home time are less than Z minutes and the input temperature value is less than the lowest value of the suggested temperature.
Wherein the values of X, Y and Z can be set by the skilled person. In this example, X is 3, Y is 100, and Z is 45.
The specific implementation mode is as follows:
generally, a user turns on an air conditioner once the user returns home, and needs to know whether the user is suitable for blowing the air conditioner at present, and what the suitable temperature is, besides knowing the current physical sign data when the user arrives at home, the user needs to know the exercise condition before arriving at home, because even if the user arrives at home with the same physical sign data, if the exercise condition before arriving at home is different, the physical state of the user in the next tens of minutes to several hours after arriving at home is different.
Therefore, in order to better understand the real situation of the user, in this embodiment, when the user moves towards the house and the distance between the user coordinate and the house coordinate is not greater than 3 km, the acquisition end starts to acquire the amount of exercise of the user; and when the user coordinate and the house coordinate are not more than 100 meters, the acquisition end acquires the current physical sign data of the user. And the control end calculates the suggested temperature suitable for the user at present according to the acquired exercise amount and the current sign data. The suggested temperature thus obtained allows the user to be relieved of the air-conditioning at the next time period.
When the user inputs the temperature, if the input time and the home time are less than 45 minutes, and the input temperature value is less than the lowest value of the suggested temperature. If the input temperature value is less than the lowest value of the recommended temperature, if the air supply of the air conditioner is controlled according to the input temperature, the body state of the user is not completely restored. Therefore, the control end controls the air supply of the air conditioner after adjusting the input temperature to the lowest value of the suggested temperature. Therefore, the situation that the body is greedy to get cold and the user is sick after the user moves home can be avoided.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is not described herein in any greater extent than that known in the art at the filing date or prior to the priority date of the application, so that those skilled in the art can now appreciate that all of the above-described techniques in this field and have the ability to apply routine experimentation before this date can be combined with one or more of the present teachings to complete and implement the present invention, and that certain typical known structures or known methods do not pose any impediments to the implementation of the present invention by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (8)
1. An intelligent air conditioner control system, comprising:
the user side is used for collecting the physical sign data of the user;
the control end is used for inputting a temperature value; the temperature sensor is also used for analyzing the input temperature value and the sign data of the user by using a preset model after the temperature value is input, and correcting the input temperature value to obtain a corrected temperature value when the analysis result is that the input temperature value has a risk of causing diseases to the user; and the temperature value is also used for controlling air supply of the air conditioner after the corrected temperature value is obtained.
2. The intelligent air conditioner control system of claim 1, wherein: the control end is also used for sending out a prompt when the analysis result is that the input temperature value has a risk of causing diseases to the user, and the prompt content comprises a temperature prompt and a health prompt.
3. The intelligent air conditioner control system of claim 2, wherein: the controller is also used for selecting modes, and the modes comprise a normal mode and a sleep mode; and in the sleep mode, the user side is also used for collecting user sign data every N minutes and sending the user sign data to the control side, and the control side is also used for adjusting the current temperature according to the latest sign data of the user based on a preset adjusting model.
4. The intelligent air conditioner control system of claim 3, wherein: when a plurality of user terminals send the physical sign data of the users to the same control terminal at the same time, the control terminal selects the adjustment temperature value with the maximum value as an actual adjustment value for temperature adjustment after obtaining the estimated adjustment temperature value according to each group of physical sign data.
5. The intelligent air conditioner control system of claim 4, wherein: the control end is also used for analyzing the sign data of the user.
6. The intelligent air conditioner control system of claim 5, wherein: the input mode of the control end comprises character input and voice input.
7. The intelligent air conditioner control system of claim 6, wherein: the preset model and the adjusting model are both neural network models.
8. The intelligent air conditioner control system of claim 7, wherein: the physical sign data collected by the user terminal comprises body temperature, heart rate and blood oxygen saturation.
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| CN202010757107.6A CN111829131A (en) | 2020-07-31 | 2020-07-31 | Intelligent air conditioner control system |
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Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104406270A (en) * | 2014-11-12 | 2015-03-11 | 广东美的制冷设备有限公司 | Indoor temperature self-adaptive control method for air conditioner and air conditioner |
| CN104930651A (en) * | 2015-06-04 | 2015-09-23 | 广东美的暖通设备有限公司 | Temperature adjusting method and device for air-conditioner |
| CN107208920A (en) * | 2015-03-27 | 2017-09-26 | 三菱电机株式会社 | Terminal installation, air-conditioning equipment and wearable terminal |
| CN107894064A (en) * | 2017-10-09 | 2018-04-10 | 广东小天才科技有限公司 | Temperature adjusting method, device, equipment and storage medium based on wearable equipment |
| CN108518814A (en) * | 2018-03-30 | 2018-09-11 | 广东美的制冷设备有限公司 | Control method, air conditioner and the computer readable storage medium of air conditioner |
| CN108758994A (en) * | 2018-03-09 | 2018-11-06 | 珠海格力电器股份有限公司 | Control method and device of air conditioner, storage medium and processor |
| CN108758962A (en) * | 2018-04-18 | 2018-11-06 | 北京合创三众能源科技股份有限公司 | Control method, device, electronic equipment and the storage medium of environmental unit |
| KR20180138270A (en) * | 2017-06-20 | 2018-12-31 | 엘지전자 주식회사 | Air conditioner |
| CN109654672A (en) * | 2018-11-13 | 2019-04-19 | 珠海格力电器股份有限公司 | Air conditioner control method and air conditioner |
| CN109883013A (en) * | 2019-03-06 | 2019-06-14 | 珠海格力电器股份有限公司 | Air conditioner control method and device and air conditioning system |
| CN110141194A (en) * | 2019-06-13 | 2019-08-20 | 四川长虹空调有限公司 | A simulated pulse cutting device and an intelligent air-conditioning control system |
| CN110160225A (en) * | 2019-05-08 | 2019-08-23 | 青岛海尔空调器有限总公司 | The control method and device of the apparatus of air conditioning, the apparatus of air conditioning |
| JP6576568B2 (en) * | 2016-09-02 | 2019-09-18 | 三菱電機株式会社 | Air conditioning system |
| US20190360708A1 (en) * | 2018-05-24 | 2019-11-28 | Carrier Corporation | Biometric air conditioning control system |
| CN110553358A (en) * | 2019-08-30 | 2019-12-10 | 珠海格力电器股份有限公司 | Air conditioner control method and system based on intelligent wearable device and air conditioner |
| CN110749055A (en) * | 2019-10-29 | 2020-02-04 | 珠海格力电器股份有限公司 | Method, device and system for controlling air conditioner |
| CN111197841A (en) * | 2018-11-19 | 2020-05-26 | 广东美的制冷设备有限公司 | Control method, control device, remote control terminal, air conditioner, server and storage medium |
| CN111288604A (en) * | 2018-12-07 | 2020-06-16 | 宁波方太厨具有限公司 | Automatic temperature adjusting method and system for air conditioner |
-
2020
- 2020-07-31 CN CN202010757107.6A patent/CN111829131A/en active Pending
Patent Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104406270A (en) * | 2014-11-12 | 2015-03-11 | 广东美的制冷设备有限公司 | Indoor temperature self-adaptive control method for air conditioner and air conditioner |
| CN107208920A (en) * | 2015-03-27 | 2017-09-26 | 三菱电机株式会社 | Terminal installation, air-conditioning equipment and wearable terminal |
| CN104930651A (en) * | 2015-06-04 | 2015-09-23 | 广东美的暖通设备有限公司 | Temperature adjusting method and device for air-conditioner |
| JP6576568B2 (en) * | 2016-09-02 | 2019-09-18 | 三菱電機株式会社 | Air conditioning system |
| KR20180138270A (en) * | 2017-06-20 | 2018-12-31 | 엘지전자 주식회사 | Air conditioner |
| CN107894064A (en) * | 2017-10-09 | 2018-04-10 | 广东小天才科技有限公司 | Temperature adjusting method, device, equipment and storage medium based on wearable equipment |
| CN108758994A (en) * | 2018-03-09 | 2018-11-06 | 珠海格力电器股份有限公司 | Control method and device of air conditioner, storage medium and processor |
| CN108518814A (en) * | 2018-03-30 | 2018-09-11 | 广东美的制冷设备有限公司 | Control method, air conditioner and the computer readable storage medium of air conditioner |
| CN108758962A (en) * | 2018-04-18 | 2018-11-06 | 北京合创三众能源科技股份有限公司 | Control method, device, electronic equipment and the storage medium of environmental unit |
| US20190360708A1 (en) * | 2018-05-24 | 2019-11-28 | Carrier Corporation | Biometric air conditioning control system |
| CN109654672A (en) * | 2018-11-13 | 2019-04-19 | 珠海格力电器股份有限公司 | Air conditioner control method and air conditioner |
| CN111197841A (en) * | 2018-11-19 | 2020-05-26 | 广东美的制冷设备有限公司 | Control method, control device, remote control terminal, air conditioner, server and storage medium |
| CN111288604A (en) * | 2018-12-07 | 2020-06-16 | 宁波方太厨具有限公司 | Automatic temperature adjusting method and system for air conditioner |
| CN109883013A (en) * | 2019-03-06 | 2019-06-14 | 珠海格力电器股份有限公司 | Air conditioner control method and device and air conditioning system |
| CN110160225A (en) * | 2019-05-08 | 2019-08-23 | 青岛海尔空调器有限总公司 | The control method and device of the apparatus of air conditioning, the apparatus of air conditioning |
| CN110141194A (en) * | 2019-06-13 | 2019-08-20 | 四川长虹空调有限公司 | A simulated pulse cutting device and an intelligent air-conditioning control system |
| CN110553358A (en) * | 2019-08-30 | 2019-12-10 | 珠海格力电器股份有限公司 | Air conditioner control method and system based on intelligent wearable device and air conditioner |
| CN110749055A (en) * | 2019-10-29 | 2020-02-04 | 珠海格力电器股份有限公司 | Method, device and system for controlling air conditioner |
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Application publication date: 20201027 |