CN112303829A - Wind noise intelligent wind speed adjusting method and system, air conditioner, remote controller and storage medium - Google Patents
Wind noise intelligent wind speed adjusting method and system, air conditioner, remote controller and storage medium Download PDFInfo
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- CN112303829A CN112303829A CN202010986966.2A CN202010986966A CN112303829A CN 112303829 A CN112303829 A CN 112303829A CN 202010986966 A CN202010986966 A CN 202010986966A CN 112303829 A CN112303829 A CN 112303829A
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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
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
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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
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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
- F24F11/72—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
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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
- F24F13/00—Details common to, or for air-conditioning, air-humidification, ventilation or use of air currents for screening
- F24F13/24—Means for preventing or suppressing noise
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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
- F24F13/00—Details common to, or for air-conditioning, air-humidification, ventilation or use of air currents for screening
- F24F13/24—Means for preventing or suppressing noise
- F24F2013/247—Active noise-suppression
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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
- F24F2130/00—Control inputs relating to environmental factors not covered by group F24F2110/00
- F24F2130/40—Noise
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- 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
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Abstract
The invention belongs to the technical field of intelligent control of air conditioners, and discloses a method and a system for intelligently adjusting wind speed by wind noise, an air conditioner, a remote controller and a storage medium, wherein the air conditioner and the remote controller are combined to evaluate the wind noise, and the wind speed is intelligently adjusted by an AI; the remote controller detects the ambient wind noise of the self area and feeds the ambient wind noise back to the air conditioner, and the air conditioner wind noise sensor detects the wind noise of the self area; the air conditioner positioning sensor carries out distance positioning on the remote controller, and uploads the wind noise value detected by the remote controller, the wind noise value detected by the air conditioner and the distance data between the air conditioner and the remote controller to the cloud big data AI analysis model; the AI model analyzes, intelligently identifies and evaluates wind noise, evaluates and sends corresponding adjustable parameters to the air conditioner, and the air conditioner intelligently adjusts the wind speed. The invention utilizes the combination of the intelligent air conditioner and the remote controller to evaluate the wind noise, and the sensor at the end of the remote controller collects the wind noise of the area per se and feeds the wind noise back to the air conditioner, so that the air conditioner can evaluate the wind noise according to the wind noise collected by the sensor per se.
Description
Technical Field
The invention belongs to the technical field of intelligent control of air conditioners, and particularly relates to a method and a system for intelligently adjusting wind speed by wind noise, an air conditioner, a remote controller and a storage medium.
Background
At present, certain wind noise can be brought by air outlet of an existing air conditioner, the wind noise generated by the air conditioner is sensed by a sensor of the air conditioner, the global environment wind noise cannot be known, and the wind noise of the air conditioner is evaluated in a one-sided mode and cannot represent the global wind noise. If the air conditioner starts a high wind gear, the air conditioner detects that the wind noise is large, the air conditioner cannot identify that the wind noise of the air conditioner is large and still continues to operate, and the use experience of a user is influenced by the wind noise.
Through the above analysis, the problems and defects of the prior art are as follows: when the air conditioner opens the high wind gear, the detected wind noise is large, the air conditioner cannot identify the large wind noise of the air conditioner but still continues to operate, and the wind noise affects the use experience of a user.
Disclosure of Invention
The invention provides a method and a system for intelligently adjusting wind speed by wind noise, an air conditioner, a remote controller and a storage medium, aiming at solving the problems that the wind noise of the air conditioner can not be evaluated and the intelligent adjustment of the wind speed can not be effectively and reasonably realized in the prior art.
The invention is realized in such a way that a remote controller-based wind noise evaluation intelligent wind speed adjusting method comprises the following steps:
the remote controller detects the ambient wind noise of the self area and feeds the ambient wind noise back to the air conditioner, and the air conditioner wind noise sensor detects the wind noise of the self area;
the air conditioner positioning sensor performs distance positioning on the remote controller;
and uploading the wind noise magnitude value detected by the remote controller, the wind noise magnitude value detected by the air conditioner and the distance data between the air conditioner and the remote controller to a cloud server for big data AI analysis, identifying to obtain an environmental wind noise evaluation value, and issuing corresponding adjustable parameters to the air conditioner according to the evaluation result.
Further, a big data analysis model, an AI model and an air conditioner parameter control instruction set are embedded in the cloud server;
the AI model is an intelligent AI model obtained by training a large number of control air conditioner parameter instruction sets and learning a big data analysis model;
identifying different distances, noise values of air conditioner sources and noise value data sets of auxiliary equipment self areas through an AI model to obtain an environment wind noise evaluation value, and feeding back an adjustable optimal setting parameter of the air conditioner;
and the air conditioner intelligently adjusts the wind speed according to the adjustable optimal setting parameters.
Another object of the present invention is to provide a wind noise evaluation intelligent wind speed adjusting system based on a remote controller, comprising:
the main control module unit is responsible for logic control, scheduling and controlling and executing the adjustment setting of the air conditioner;
the air conditioner noise detection unit is connected with the main control module unit and is responsible for detecting the air conditioner noise;
the positioning module unit is connected with the main control module unit and used for positioning the remote controller to obtain the distance between the remote controller and the air conditioner;
and the air conditioner communication module unit is connected with the main control module unit and is responsible for communication with the auxiliary equipment remote controller and the cloud server.
Further, the main control module unit is an air conditioner controller mainboard;
the air conditioner noise detection unit is a microphone array unit;
the positioning module unit adopts one of a binocular positioning device, a radar positioning device and a ToF positioning device.
Further, the cloud server is used for carrying out big data AI analysis, identifying to obtain an environmental wind noise evaluation value, and sending corresponding adjustable parameters to the air conditioner communication module unit according to the evaluation result.
It is another object of the present invention to provide a remote controller for wind noise evaluation to intelligently adjust wind speed, the remote controller comprising:
the control module unit is responsible for logic control, control detection and data uploading;
the remote controller noise detection unit is connected with the control module unit and is responsible for detecting the wind noise of the self environment area of the remote controller;
and the remote controller communication module unit is connected with the control module unit and is responsible for communicating with the air conditioning equipment.
Further, the control module unit is a remote control unit MCU;
the remote controller noise detection unit is a microphone array unit;
the remote controller communication module unit is one of a WIFI communication unit, a Bluetooth and a ZigBee wireless communication device.
Another object of the present invention is to provide an air conditioner implementing the remote controller-based wind noise estimation intelligent wind speed adjustment method.
It is a further object of the invention to provide a computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of:
the remote controller detects the ambient wind noise of the self area and feeds the ambient wind noise back to the air conditioner, and the air conditioner wind noise sensor detects the wind noise of the self area;
the air conditioner positioning sensor performs distance positioning on the remote controller;
and uploading the wind noise magnitude value detected by the remote controller, the wind noise magnitude value detected by the air conditioner and the distance data between the air conditioner and the remote controller to a cloud server for big data AI analysis, identifying to obtain an environmental wind noise evaluation value, issuing corresponding adjustable parameters to the air conditioner according to the evaluation result, and intelligently adjusting the wind speed of the air conditioner.
It is a further object of the invention to provide a computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, causes the processor to carry out the method.
By combining all the technical schemes, the invention has the advantages and positive effects that:
according to the invention, the intelligent air conditioner is combined with the remote controller to evaluate the wind noise, the wind noise in the self area is collected by the sensor at the end of the remote controller and fed back to the air conditioner, so that the air conditioner can evaluate the wind noise according to the wind noise collected by the sensor at the end of the air conditioner, the wind noise collection data and the distance of auxiliary equipment are combined to comprehensively evaluate the wind noise in the whole environment, the wind speed is intelligently adjusted, the air conditioner resources are reasonably utilized, and the air conditioner using effect of a user is better.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained from the drawings without creative efforts.
Fig. 1 is an interaction schematic diagram of an air conditioner, a remote controller, and a cloud server provided by an embodiment of the present invention.
Fig. 2 is a flow chart of the air conditioner AI intelligent evaluation wind noise according to the embodiment of the present invention.
Fig. 3 is a flow chart of air conditioner AI intelligent matching evaluation wind noise according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Aiming at the problems in the prior art, the invention provides a method and a system for intelligently adjusting wind speed by wind noise, an air conditioner, a remote controller and a storage medium, and the invention is described in detail below with reference to the attached drawings.
As shown in FIG. 1, the invention utilizes the combination of an intelligent air conditioner and a remote controller to evaluate the wind noise, and AI adjusts the wind speed intelligently; the remote controller detects the ambient wind noise of a self area and feeds the ambient wind noise back to the air conditioner, the air conditioner wind noise sensor detects the wind noise of the self area, the air conditioner positioning sensor carries out distance positioning on the remote controller, 3 data of the wind noise value detected by the remote controller, the wind noise value detected by the air conditioner and the distance between the air conditioner and the remote controller are uploaded to a cloud big data AI analysis model, the AI model comprehensively analyzes and intelligently identifies and evaluates the wind noise, evaluates and sends corresponding adjustable parameters to the air conditioner, and the air conditioner intelligently adjusts the wind speed to optimize and meet the ideal state of the ambient noise.
The invention provides a remote controller-based wind noise evaluation intelligent wind speed adjusting system, which comprises:
comprises a main control module unit, a noise detection unit, a positioning module unit, a communication module unit and the like. The main control module unit is responsible for logic control, scheduling, controlling and executing adjustment setting of the air conditioner and the like; the noise detection unit is used for detecting the air noise of the air conditioner; the positioning module unit positions the remote controller to acquire the distance between the remote controller and the air conditioner; the communication module unit is responsible for communication with the auxiliary equipment remote controller, the cloud end and the like.
The main control module unit is an air conditioner controller mainboard and is responsible for logic control, scheduling, control and execution of adjustment setting of an air conditioner and the like;
the noise detection unit is a microphone array unit, and the microphone array collects audio information and evaluates a noise value, namely detects the air noise of the air conditioner;
the positioning module unit comprises, but is not limited to, binocular positioning, radar positioning, ToF positioning technology and the like, and has the main functions that the air conditioner positions the remote controller and obtains the distance between the remote controller and the air conditioner;
the communication module unit is a WIFI communication unit and is responsible for communication with the auxiliary equipment remote controller and the cloud server. (the communication module unit can also adopt wireless communication technologies such as Bluetooth, ZigBee and the like).
In the invention, the cloud server is provided with a big data analysis model, a deep learning algorithm model (AI model), an instruction set for controlling air conditioner parameters and the like. The AI model is an intelligent AI model obtained by training a large number of data sets (the data sets comprise distances, air conditioner source noise values and auxiliary equipment self-region noise values) and analyzing and learning big data, and the AI model intelligently identifies different data sets (the distances, the air conditioner source noise values and the auxiliary equipment self-region noise values) to obtain a relatively ideal environment wind noise evaluation value and feeds back an adjustable optimal setting parameter of the air conditioner.
The cloud server is an IoT server, and is provided with big data analysis, a deep learning algorithm model (AI model), an instruction set for controlling air conditioner parameters and the like. The AI model is an intelligent AI model obtained by training a large number of data sets (the data sets comprise distance, air conditioner source noise value and auxiliary equipment self-region noise value) and analyzing and learning big data, and aims at different data sets (the distance, the air conditioner source noise value and the auxiliary equipment self-region noise value).
The invention also provides a remote controller which comprises a control module unit, a noise detection unit, a communication module unit and the like. The control module unit is responsible for logic control, control detection, data uploading and the like; the noise detection unit is used for detecting the wind noise of the self environment area of the remote controller; the communication module unit is responsible for communicating with the air conditioning equipment.
The control module unit, namely a remote control unit (MCU), is responsible for logic control, CPU scheduling, control detection, data uploading and the like;
the noise detection unit is a microphone array unit, acquires audio information, evaluates a noise value and is responsible for detecting the wind noise of the environment area of the remote controller;
the communication module unit is a WIFI communication unit and is responsible for communication with air conditioning equipment. (the communication module unit can also adopt wireless communication technologies such as Bluetooth, ZigBee and the like).
The invention is further described with reference to specific examples.
Case one:
referring to fig. 2, a remote controller or a voice remote controller is used for controlling an air conditioner to adjust the air speed, an air conditioner noise sensor detects a noise value a of the air conditioner, a remote controller noise detection unit detects a noise value b of an environment area of the air conditioner, an air conditioner positioning sensor performs distance positioning on the remote controller, the noise detection unit feeds the detected noise value a back to a main control unit, the remote controller noise detection unit also feeds the detected noise value b back to the air conditioner main control unit in a communication mode exclusive to a communication module unit, the main control unit simultaneously obtains the distance d between the air conditioner and the remote controller, the main control unit uploads the 3 data to a cloud big data AI analysis model, the AI model performs analysis, calculation and identification according to the data to obtain a relatively ideal environment air noise evaluation value, and analyzes that the noise value a and the noise value b can meet an adjustment threshold range under the distance, and intelligently judges the optimal adjustable parameter of air conditioner air speed adjustment under, and issuing a corresponding adjusting control instruction to the air conditioner, and intelligently adjusting the air speed of the air conditioner according to the adjustable parameters fed back by the AI model to an air conditioner state which best meets the noise threshold.
Case two:
referring to fig. 3, a remote controller or a voice remote controller is used to control an air conditioner, the air speed is adjusted, an air conditioner noise sensor detects a noise value a of the air conditioner, a remote controller noise detection unit detects a noise value b of an environment area of the air conditioner, an air conditioner positioning sensor performs distance positioning on the remote controller, the noise detection unit feeds the detected noise value a back to a main control unit, the remote controller noise detection unit also feeds the detected noise value b back to the air conditioner main control unit in a communication mode exclusive to a communication module unit, the main control unit simultaneously obtains a distance d between the air conditioner and the remote controller, the main control unit uploads the 3 data to a cloud big data AI analysis model, the AI model performs analysis, calculation and identification according to the data, an environment wind noise evaluation value is identified, the noise value a and the noise value b can meet an adjusted threshold range at the distance, whether the air conditioner air speed is adjustable or not is intelligently judged, if the noise value a and the noise value b can still rise to a, the AI model issues a wind speed adjusting and rising control instruction to the air conditioner, and the air conditioner intelligently adjusts the wind speed according to the adjustable parameters fed back by the AI model; after the air speed of the air conditioner is adjusted, the air conditioner noise detection unit and the remote controller detection unit continue to detect the noise value, the detected noise value is uploaded to a cloud AI model to be matched, identified and evaluated, and if the detected noise value does not meet a noise threshold value, the last adjustment parameter is returned and kept unchanged; if the noise threshold is still met, the adjustment is maintained until the threshold is optimally met.
If the noise value a and the noise value b are too high in the range of acceptable values, the AI model issues a wind speed adjustment reduction control instruction to the air conditioner, and the air conditioner intelligently adjusts the wind speed according to the adjustable parameters fed back by the AI model; after the air speed of the air conditioner is adjusted, the air conditioner noise detection unit and the remote controller detection unit continue to detect noise values, the detected noise values are uploaded to the cloud AI model to be matched, identified and evaluated, the noise values are kept adjusted if the noise threshold is still met, and adjustment parameters continue to be evaluated until the optimal noise threshold is met if the noise threshold is not met.
The air conditioner wind noise evaluation intelligent regulation wind speed is a noise value acquired and picked up and analyzed by an air conditioner end microphone module unit, a noise value acquired and analyzed by a remote controller end microphone module unit and a positioning distance value of the air conditioner end positioning unit to a remote controller, 3 values are uploaded to a cloud server for AI model analysis and identification, wind noise evaluation and sending to air conditioner regulation parameters, and the intelligent regulation wind speed of the air conditioner is realized.
In the description of the present invention, "a plurality" means two or more unless otherwise specified; the terms "upper", "lower", "left", "right", "inner", "outer", "front", "rear", "head", "tail", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, should not be construed as limiting the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The above description is only for the purpose of illustrating the present invention and the appended claims are not to be construed as limiting the scope of the invention, which is intended to cover all modifications, equivalents and improvements that are within the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A wind noise evaluation intelligent wind speed adjusting method based on a remote controller is characterized by comprising the following steps:
the remote controller feeds back the detected ambient wind noise of the self region to the air conditioner, and an air conditioner wind noise sensor of the air conditioner detects the wind noise of the air conditioner at the same time;
the air conditioner positioning sensor of the air conditioner performs distance positioning on the remote controller;
uploading the wind noise magnitude value detected by the remote controller, the air conditioner wind noise magnitude value detected by the air conditioner wind noise sensor and the distance data between the air conditioner and the remote controller to a cloud server for big data AI analysis, identifying to obtain an environment wind noise evaluation value of the air conditioner, and transmitting a corresponding adjustable optimal parameter matched with the environment wind noise evaluation value of the air conditioner to the air conditioner; the air conditioner intelligently adjusts the wind speed according to the adjustable optimal setting parameters.
2. The remote controller-based wind noise evaluation intelligent wind speed regulation method according to claim 1, wherein a big data analysis model, an AI model, and an instruction set for controlling air conditioner parameters are embedded in the cloud server;
the AI model is an intelligent AI model obtained by training a large number of control air conditioner parameter instruction sets and learning a big data analysis model;
and identifying different distances, noise values of air conditioner sources and noise value data sets of the auxiliary equipment self region through an AI model to obtain an environment wind noise evaluation value, and feeding back an adjustable optimal setting parameter of the air conditioner.
3. A remote controller-based wind noise evaluation intelligent regulation wind speed system is characterized by comprising:
the main control module unit is responsible for logic control, scheduling and controlling and executing the adjustment setting of the air conditioner;
the air conditioner noise detection unit is connected with the main control module unit and is responsible for detecting the air conditioner noise;
the positioning module unit is connected with the main control module unit and used for positioning the remote controller to obtain the distance between the remote controller and the air conditioner;
and the air conditioner communication module unit is connected with the main control module unit and is responsible for communication with the auxiliary equipment remote controller and the cloud server.
4. The remote controller-based wind noise evaluation intelligent wind speed regulation system of claim 3, wherein the main control module unit is an air conditioner controller main board;
the air conditioner noise detection unit is a microphone array unit;
the positioning module unit adopts one of a binocular positioning device, a radar positioning device and a ToF positioning device.
5. The remote controller-based wind noise evaluation intelligent wind speed regulation system according to claim 3, wherein the cloud server is configured to perform big data AI analysis, identify an environmental wind noise evaluation value, and send a corresponding adjustable parameter to the air conditioner communication module unit according to the evaluation result.
6. A remote control for intelligently adjusting wind speed for wind noise assessment, the remote control comprising:
the control module unit is responsible for logic control, control detection and data uploading;
the remote controller noise detection unit is connected with the control module unit and is responsible for detecting the wind noise of the self environment area of the remote controller;
and the remote controller communication module unit is connected with the control module unit and is responsible for communicating with the air conditioning equipment.
7. The remote controller according to claim 5, wherein the control module unit is a remote controller MCU;
the remote controller noise detection unit is a microphone array unit;
the remote controller communication module unit is one of a WIFI communication unit, a Bluetooth and a ZigBee wireless communication device.
8. An air conditioner implementing the remote controller-based wind noise evaluation intelligent wind speed adjusting method according to any one of claims 1-2.
9. A computer device, characterized in that the computer device comprises a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to carry out the steps of:
the remote controller detects the ambient wind noise of the self area and feeds the ambient wind noise back to the air conditioner, and the air conditioner wind noise sensor detects the wind noise of the self area;
the air conditioner positioning sensor performs distance positioning on the remote controller;
and uploading the wind noise magnitude value detected by the remote controller, the wind noise magnitude value detected by the air conditioner and the distance data between the air conditioner and the remote controller to a cloud server for big data AI analysis, identifying to obtain an environmental wind noise evaluation value, issuing corresponding adjustable parameters to the air conditioner according to the evaluation result, and intelligently adjusting the wind speed of the air conditioner.
10. A computer-readable storage medium, storing a computer program which, when executed by a processor, causes the processor to perform the method of any of claims 1-2.
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| CN103940029A (en) * | 2014-03-24 | 2014-07-23 | 广东美的制冷设备有限公司 | Natural wind air conditioner and control method thereof |
| CN104566791B (en) * | 2014-12-17 | 2017-05-10 | 美的集团股份有限公司 | Air conditioner and control method and system for air conditioner |
| CN105180343B (en) * | 2015-06-26 | 2017-12-12 | Tcl空调器(中山)有限公司 | Air conditioner noise adjusting method and device |
| CN106642574A (en) * | 2016-12-22 | 2017-05-10 | 芜湖美智空调设备有限公司 | Active noise-reduction method for air conditioner and device and air conditioner |
| CN109060115A (en) * | 2018-07-31 | 2018-12-21 | 珠海格力电器股份有限公司 | Noise analysis method, apparatus, storage medium and the system of equipment |
| CN111365815A (en) * | 2018-12-25 | 2020-07-03 | 青岛海尔空调器有限总公司 | Air conditioner and control method thereof |
| CN110887162A (en) * | 2019-11-14 | 2020-03-17 | 珠海格力电器股份有限公司 | Air conditioner control method and device and air conditioner system |
| CN111380189A (en) * | 2020-03-27 | 2020-07-07 | 四川虹美智能科技有限公司 | Intelligent air conditioner control method and intelligent air conditioner |
| CN111623487A (en) * | 2020-05-27 | 2020-09-04 | 海信（山东）空调有限公司 | Fan rotating speed control method of air conditioner |
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